1
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Zhang P, Ye X, Wang JCK, Baddock HT, Jensvold Z, Foe IT, Loas A, Eaton DL, Hao Q, Nile AH, Pentelute BL. Reversibly Reactive Affinity Selection-Mass Spectrometry Enables Identification of Covalent Peptide Binders. J Am Chem Soc 2024; 146:15627-15639. [PMID: 38771982 DOI: 10.1021/jacs.4c05571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2024]
Abstract
Covalent peptide binders have found applications as activity-based probes and as irreversible therapeutic inhibitors. Currently, there is no rapid, label-free, and tunable affinity selection platform to enrich covalent reactive peptide binders from synthetic libraries. We address this challenge by developing a reversibly reactive affinity selection platform termed ReAct-ASMS enabled by tandem high-resolution mass spectrometry (MS/MS) to identify covalent peptide binders to native protein targets. It uses mixed disulfide-containing peptides to build reversible peptide-protein conjugates that can enrich for covalent variants, which can be sequenced by MS/MS after reduction. Using this platform, we identified covalent peptide binders against two oncoproteins, human papillomavirus 16 early protein 6 (HPV16 E6) and peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 protein (Pin1). The resulting peptide binders efficiently and selectively cross-link Cys58 of E6 at 37 °C and Cys113 of Pin1 at room temperature, respectively. ReAct-ASMS enables the identification of highly selective covalent peptide binders for diverse molecular targets, introducing an applicable platform to assist preclinical therapeutic development pipelines.
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Affiliation(s)
- Peiyuan Zhang
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Xiyun Ye
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - John C K Wang
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Hannah T Baddock
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Zena Jensvold
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Ian T Foe
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Andrei Loas
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Dan L Eaton
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Qi Hao
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Aaron H Nile
- Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, California 94080, United States
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02142, United States
- Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, United States
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2
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Chen Z, Lim YW, Neo JY, Ting Chan RS, Koh LQ, Yuen TY, Lim YH, Johannes CW, Gates ZP. De Novo Sequencing of Synthetic Bis-cysteine Peptide Macrocycles Enabled by "Chemical Linearization" of Compound Mixtures. Anal Chem 2023; 95:14870-14878. [PMID: 37724843 PMCID: PMC10569172 DOI: 10.1021/acs.analchem.3c01742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/04/2023] [Indexed: 09/21/2023]
Abstract
A "chemical linearization" approach was applied to synthetic peptide macrocycles to enable their de novo sequencing from mixtures using nanoliquid chromatography-tandem mass spectrometry (nLC-MS/MS). This approach─previously applied to individual macrocycles but not to mixtures─involves cleavage of the peptide backbone at a defined position to give a product capable of generating sequence-determining fragment ions. Here, we first established the compatibility of "chemical linearization" by Edman degradation with a prominent macrocycle scaffold based on bis-Cys peptides cross-linked with the m-xylene linker, which are of major significance in therapeutics discovery. Then, using macrocycle libraries of known sequence composition, the ability to recover accurate de novo assignments to linearized products was critically tested using performance metrics unique to mixtures. Significantly, we show that linearized macrocycles can be sequenced with lower recall compared to linear peptides but with similar accuracy, which establishes the potential of using "chemical linearization" with synthetic libraries and selection procedures that yield compound mixtures. Sodiated precursor ions were identified as a significant source of high-scoring but inaccurate assignments, with potential implications for improving automated de novo sequencing more generally.
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Affiliation(s)
- Zhi’ang Chen
- Institute
of Molecular and Cell Biology (IMCB), Agency
for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Republic of Singapore
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Yi Wee Lim
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Jin Yong Neo
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Rachel Shu Ting Chan
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Li Quan Koh
- Institute
of Molecular and Cell Biology (IMCB), Agency
for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Republic of Singapore
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Tsz Ying Yuen
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Yee Hwee Lim
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
| | - Charles W. Johannes
- Institute
of Molecular and Cell Biology (IMCB), Agency
for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Republic of Singapore
| | - Zachary P. Gates
- Institute
of Molecular and Cell Biology (IMCB), Agency
for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Republic of Singapore
- Institute
of Sustainability for Chemicals, Energy and Environment (ISCE), Agency for Science, Technology
and Research (A*STAR), 8 Biomedical Grove, #07-01 Neuros, Singapore 138665, Republic
of Singapore
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3
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Mata JM, van der Nol E, Pomplun SJ. Advances in Ultrahigh Throughput Hit Discovery with Tandem Mass Spectrometry Encoded Libraries. J Am Chem Soc 2023; 145:19129-19139. [PMID: 37556835 PMCID: PMC10472510 DOI: 10.1021/jacs.3c04899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Indexed: 08/11/2023]
Abstract
Discovering new bioactive molecules is crucial for drug development. Finding a hit compound for a new drug target usually requires screening of millions of molecules. Affinity selection based technologies have revolutionized early hit discovery by enabling the rapid screening of libraries with millions or billions of compounds in short timeframes. In this Perspective, we describe recent technology breakthroughs that enable the screening of ultralarge synthetic peptidomimetic libraries with a barcode-free tandem mass spectrometry decoding strategy. A combination of combinatorial synthesis, affinity selection, automated de novo peptide sequencing algorithms, and advances in mass spectrometry instrumentation now enables hit discovery from synthetic libraries with over 100 million members. We provide a perspective on this powerful technology and showcase success stories featuring the discovery of high affinity binders for a number of drug targets including proteins, nucleic acids, and specific cell types. Further, we show the usage of the technology to discover synthetic peptidomimetics with specific functions and reactivity. We predict that affinity selection coupled with tandem mass spectrometry and automated de novo decoding will rapidly evolve further and become a broadly used drug discovery technology.
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4
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Schissel CK, Farquhar CE, Loas A, Malmberg AB, Pentelute BL. In-Cell Penetration Selection-Mass Spectrometry Produces Noncanonical Peptides for Antisense Delivery. ACS Chem Biol 2023; 18:615-628. [PMID: 36857503 PMCID: PMC10460143 DOI: 10.1021/acschembio.2c00920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Peptide-mediated delivery of macromolecules in cells has significant potential therapeutic benefits, but no therapy employing cell-penetrating peptides (CPPs) has reached the market after 30 years of investigation due to challenges in the discovery of new, more efficient sequences. Here, we demonstrate a method for in-cell penetration selection-mass spectrometry (in-cell PS-MS) to discover peptides from a synthetic library capable of delivering macromolecule cargo to the cytosol. This method was inspired by recent in vivo selection approaches for cell-surface screening, with an added spatial dimension resulting from subcellular fractionation. A representative peptide discovered in the cytosolic extract, Cyto1a, is nearly 100-fold more active toward antisense phosphorodiamidate morpholino oligomer (PMO) delivery compared to a sequence identified from a whole cell extract, which includes endosomes. Cyto1a is composed of d-residues and two non-α-amino acids, is more stable than its all-l isoform, and is less toxic than known CPPs with comparable activity. Pulse-chase and microscopy experiments revealed that while the PMO-Cyto1a conjugate is likely taken up by endosomes, it can escape to localize to the nucleus without nonspecifically releasing other endosomal components. In-cell PS-MS introduces a means to empirically discover unnatural synthetic peptides for subcellular delivery of therapeutically relevant cargo.
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Affiliation(s)
- Carly K Schissel
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Charlotte E Farquhar
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Andrei Loas
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Annika B Malmberg
- Sarepta Therapeutics, 215 First Street, Cambridge, Massachusetts 02142, United States
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02142, United States
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, United States
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5
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Rössler SL, Grob NM, Buchwald SL, Pentelute BL. Abiotic peptides as carriers of information for the encoding of small-molecule library synthesis. Science 2023; 379:939-945. [PMID: 36862767 PMCID: PMC10064805 DOI: 10.1126/science.adf1354] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Encoding small-molecule information in DNA has been leveraged to accelerate the discovery of ligands for therapeutic targets such as proteins. However, oligonucleotide-based encoding is hampered by inherent limitations of information stability and density. In this study, we establish abiotic peptides for next-generation information storage and apply them for the encoding of diverse small-molecule synthesis. The chemical stability of the peptide-based tag allows the use of palladium-mediated reactions to efficiently synthesize peptide-encoded libraries (PELs) with broad chemical diversity and high purity. We demonstrate the successful de novo discovery of small-molecule protein ligands from PELs by affinity selection against carbonic anhydrase IX and the oncogenic protein targets BRD4(1) and MDM2. Collectively, this work establishes abiotic peptides as carriers of information for the encoding of small-molecule synthesis, leveraged herein for the discovery of protein ligands.
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Affiliation(s)
- Simon L Rössler
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Nathalie M Grob
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Stephen L Buchwald
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Center for Environmental Health Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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6
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Shao L, Ma J, Prelesnik JL, Zhou Y, Nguyen M, Zhao M, Jenekhe SA, Kalinin SV, Ferguson AL, Pfaendtner J, Mundy CJ, De Yoreo JJ, Baneyx F, Chen CL. Hierarchical Materials from High Information Content Macromolecular Building Blocks: Construction, Dynamic Interventions, and Prediction. Chem Rev 2022; 122:17397-17478. [PMID: 36260695 DOI: 10.1021/acs.chemrev.2c00220] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Hierarchical materials that exhibit order over multiple length scales are ubiquitous in nature. Because hierarchy gives rise to unique properties and functions, many have sought inspiration from nature when designing and fabricating hierarchical matter. More and more, however, nature's own high-information content building blocks, proteins, peptides, and peptidomimetics, are being coopted to build hierarchy because the information that determines structure, function, and interfacial interactions can be readily encoded in these versatile macromolecules. Here, we take stock of recent progress in the rational design and characterization of hierarchical materials produced from high-information content blocks with a focus on stimuli-responsive and "smart" architectures. We also review advances in the use of computational simulations and data-driven predictions to shed light on how the side chain chemistry and conformational flexibility of macromolecular blocks drive the emergence of order and the acquisition of hierarchy and also on how ionic, solvent, and surface effects influence the outcomes of assembly. Continued progress in the above areas will ultimately usher in an era where an understanding of designed interactions, surface effects, and solution conditions can be harnessed to achieve predictive materials synthesis across scale and drive emergent phenomena in the self-assembly and reconfiguration of high-information content building blocks.
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Affiliation(s)
- Li Shao
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Jinrong Ma
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, Washington 98195, United States
| | - Jesse L Prelesnik
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Yicheng Zhou
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Mary Nguyen
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.,Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Mingfei Zhao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
| | - Samson A Jenekhe
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States.,Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Sergei V Kalinin
- Department of Materials Science and Engineering, University of Tennessee, Knoxville, Tennessee 37996, United States
| | - Andrew L Ferguson
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois 60637, United States
| | - Jim Pfaendtner
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.,Materials Science and Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Christopher J Mundy
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.,Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - James J De Yoreo
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.,Materials Science and Engineering, University of Washington, Seattle, Washington 98195, United States
| | - François Baneyx
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, Washington 98195, United States.,Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Chun-Long Chen
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.,Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
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7
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Ye X, Lee YC, Gates ZP, Ling Y, Mortensen JC, Yang FS, Lin YS, Pentelute BL. Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions. Commun Chem 2022; 5:128. [PMID: 36697672 PMCID: PMC9814900 DOI: 10.1038/s42004-022-00737-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 09/21/2022] [Indexed: 01/28/2023] Open
Abstract
Establishing structure-activity relationships is crucial to understand and optimize the activity of peptide-based inhibitors of protein-protein interactions. Single alanine substitutions provide limited information on the residues that tolerate simultaneous modifications with retention of biological activity. To guide optimization of peptide binders, we use combinatorial peptide libraries of over 4,000 variants-in which each position is varied with either the wild-type residue or alanine-with a label-free affinity selection platform to study protein-ligand interactions. Applying this platform to a peptide binder to the oncogenic protein MDM2, several multi-alanine-substituted analogs with picomolar binding affinity were discovered. We reveal a non-additive substitution pattern in the selected sequences. The alanine substitution tolerances for peptide ligands of the 12ca5 antibody and 14-3-3 regulatory protein are also characterized, demonstrating the general applicability of this new platform. We envision that binary combinatorial alanine scanning will be a powerful tool for investigating structure-activity relationships.
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Affiliation(s)
- Xiyun Ye
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Yen-Chun Lee
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
- Department of Chemistry, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan
| | - Zachary P Gates
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
- Institute of Sustainability for Chemicals, Energy and Environment (ISCE2), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Singapore, 138665, Singapore
- Disease Intervention Technology Laboratory (DITL), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Singapore, 138673, Singapore
| | - Yingjie Ling
- Department of Chemistry, Tufts University, 62 Talbot Avenue, Medford, MA, 02155, USA
| | - Jennifer C Mortensen
- Department of Chemistry, Tufts University, 62 Talbot Avenue, Medford, MA, 02155, USA
| | - Fan-Shen Yang
- Department of Chemistry and Frontier Research Center on Fundamental and Applied Sciences and Matters, National Tsing Hua University, 101, Sec. 2, Guang-Fu Road, Hsinchu, 300, Taiwan
| | - Yu-Shan Lin
- Department of Chemistry, Tufts University, 62 Talbot Avenue, Medford, MA, 02155, USA
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
- The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA, 02142, USA.
- Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
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8
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Chen CH, Bepler T, Pepper K, Fu D, Lu TK. Synthetic molecular evolution of antimicrobial peptides. Curr Opin Biotechnol 2022; 75:102718. [PMID: 35395425 DOI: 10.1016/j.copbio.2022.102718] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/14/2022] [Accepted: 03/01/2022] [Indexed: 01/18/2023]
Abstract
As we learn more about how peptide structure and activity are related, we anticipate that antimicrobial peptides will be engineered to have strong potency and distinct functions and that synthetic peptides will have new biomedical applications, such as treatments for emerging infectious diseases. As a result of the enormous number of possible amino acid sequences and the low-throughput nature of antimicrobial peptide assays, computational tools for peptide design and optimization are needed for direct experimentation toward obtaining functional sequences. Recent developments in computational tools have improved peptide design, saving labor, reagents, costs, and time. At the same time, improvements in peptide synthesis and experimental platforms continue to reduce the cost and increase the throughput of peptide-drug screening. In this review, we discuss the current methods of peptide design and engineering, including in silico methods and peptide synthesis and screening, and highlight areas of potential improvement.
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Affiliation(s)
- Charles H Chen
- Synthetic Biology Center, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Tristan Bepler
- Synthetic Biology Center, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Simons Machine Learning Center, New York Structural Biology Center, New York, NY 10027, USA
| | - Karen Pepper
- Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
| | - Debbie Fu
- Department of Biology, Tufts University, Medford, MA 02155, USA
| | - Timothy K Lu
- Synthetic Biology Center, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Synthetic Biology Group, Research Laboratory of Electronics, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02142, USA; Senti Biosciences, South San Francisco, CA 94080, USA.
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9
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Affinity Selection from Synthetic Peptide Libraries Enabled by De Novo MS/MS Sequencing. Int J Pept Res Ther 2022. [DOI: 10.1007/s10989-022-10370-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
AbstractRecently, de novo MS/MS peptide sequencing has enabled the application of affinity selections to synthetic peptide mixtures that approach the diversity of phage libraries (> 108 random peptides). In conjunction with ‘split-mix’ solid phase synthesis to access equimolar peptide mixtures, this approach provides a straightforward means to examine synthetic peptide libraries of considerably higher diversity than has been feasible historically. Here, we offer a critical perspective on this work, report emerging data, and highlight opportunities for further methods refinement. With continued development, ‘affinity selection–mass spectrometry’ may become a complimentary approach to phage display, in vitro selection, and DNA-encoded libraries for the discovery of synthetic ligands that modulate protein function.
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10
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Zhang G, Brown JS, Quartararo AJ, Li C, Tan X, Hanna S, Antilla S, Cowfer AE, Loas A, Pentelute BL. Rapid de novo discovery of peptidomimetic affinity reagents for human angiotensin converting enzyme 2. Commun Chem 2022; 5:8. [PMID: 36697587 PMCID: PMC9814530 DOI: 10.1038/s42004-022-00625-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 12/23/2021] [Indexed: 01/28/2023] Open
Abstract
Rapid discovery and development of serum-stable, selective, and high affinity peptide-based binders to protein targets are challenging. Angiotensin converting enzyme 2 (ACE2) has recently been identified as a cardiovascular disease biomarker and the primary receptor utilized by the severe acute respiratory syndrome coronavirus 2. In this study, we report the discovery of high affinity peptidomimetic binders to ACE2 via affinity selection-mass spectrometry (AS-MS). Multiple high affinity ACE2-binding peptides (ABP) were identified by selection from canonical and noncanonical peptidomimetic libraries containing 200 million members (dissociation constant, KD = 19-123 nM). The most potent noncanonical ACE2 peptide binder, ABP N1 (KD = 19 nM), showed enhanced serum stability in comparison with the most potent canonical binder, ABP C7 (KD = 26 nM). Picomolar to low nanomolar ACE2 concentrations in human serum were detected selectively using ABP N1 in an enzyme-linked immunosorbent assay. The discovery of serum-stable noncanonical peptidomimetics like ABP N1 from a single-pass selection demonstrates the utility of advanced AS-MS for accelerated development of affinity reagents to protein targets.
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Affiliation(s)
- Genwei Zhang
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Joseph S. Brown
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Anthony J. Quartararo
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA ,Present Address: FogPharma, 30 Acorn Park Dr, Cambridge, MA 02140 USA
| | - Chengxi Li
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Xuyu Tan
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Stephanie Hanna
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Sarah Antilla
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Amanda E. Cowfer
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Andrei Loas
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA
| | - Bradley L. Pentelute
- grid.116068.80000 0001 2341 2786Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Avenue, Cambridge, MA 02139 USA ,grid.116068.80000 0001 2341 2786The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142 USA ,grid.116068.80000 0001 2341 2786Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139 USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142 USA
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11
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Zheng JS, Liang J, Shi WW, Li Y, Hu HG, Tian CL, Liu L. A mirror-image protein-based information barcoding and storage technology. Sci Bull (Beijing) 2021; 66:1542-1549. [PMID: 36654283 DOI: 10.1016/j.scib.2021.03.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 02/12/2021] [Accepted: 03/02/2021] [Indexed: 02/03/2023]
Abstract
A mirror-image protein-based information barcoding and storage technology wherein D-amino acids are used to encode information into mirror-image proteins that are chemically synthesized is described. These mirror-image proteins were then fused into various materials from which information-encoded objects were produced. Subsequently, the mirror-image proteins were extracted from the objects using biotin-streptavidin resin-mediated specific enrichment and cleaved using an Ni(II)-mediated selective peptide cleavage. Protein sequencing was accomplished using liquid chromatography/tandem mass spectrometry (LC-MS/MS) and then transcoded into the recorded information. We demonstrated the use of this technology to encode Chinese words into mirror-image proteins, which were then fused onto a poly(ethylene terephthalate) (PET) film and retrieved and decoded by LC-MS/MS sequencing. Compared to information barcoding and storage technologies using natural biopolymers, the mirror-image biopolymers used in our technology may be more stable and durable.
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Affiliation(s)
- Ji-Shen Zheng
- Tsinghua-Peking Joint Center for Life Sciences, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing 100084, China; Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
| | - Jun Liang
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
| | - Wei-Wei Shi
- Tsinghua-Peking Joint Center for Life Sciences, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Ying Li
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
| | - Hong-Gang Hu
- Institute of Translational Medicine, Shanghai University, Shanghai 200444, China
| | - Chang-Lin Tian
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
| | - Lei Liu
- Tsinghua-Peking Joint Center for Life Sciences, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing 100084, China.
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12
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Pushpavanam K, Ma J, Cai Y, Naser NY, Baneyx F. Solid-Binding Proteins: Bridging Synthesis, Assembly, and Function in Hybrid and Hierarchical Materials Fabrication. Annu Rev Chem Biomol Eng 2021; 12:333-357. [PMID: 33852353 DOI: 10.1146/annurev-chembioeng-102020-015923] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
There is considerable interest in the development of hybrid organic-inorganic materials because of the potential for harvesting the unique capabilities that each system has to offer. Proteins are an especially attractive organic component owing to the high amount of chemical information encoded in their amino acid sequence, their amenability to molecular and computational (re)design, and the many structures and functions they specify. Genetic installation of solid-binding peptides (SBPs) within protein frameworks affords control over the position and orientation of adhesive and morphogenetic segments, and a path toward predictive synthesis and assembly of functional materials and devices, all while harnessing the built-in properties of the host scaffold. Here, we review the current understanding of the mechanisms through which SBPs bind to technologically relevant interfaces, with an emphasis on the variables that influence the process, and highlight the last decade of progress in the use of solid-binding proteins for hybrid and hierarchical materials synthesis.
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Affiliation(s)
- Karthik Pushpavanam
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98115, USA;
| | - Jinrong Ma
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, Washington 98115, USA
| | - Yifeng Cai
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98115, USA;
| | - Nada Y Naser
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98115, USA;
| | - François Baneyx
- Department of Chemical Engineering, University of Washington, Seattle, Washington 98115, USA; .,Molecular Engineering and Sciences Institute, University of Washington, Seattle, Washington 98115, USA
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13
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Tuning of a Membrane-Perforating Antimicrobial Peptide to Selectively Target Membranes of Different Lipid Composition. J Membr Biol 2021; 254:75-96. [PMID: 33564914 DOI: 10.1007/s00232-021-00174-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 01/21/2021] [Indexed: 12/16/2022]
Abstract
The use of designed antimicrobial peptides as drugs has been impeded by the absence of simple sequence-structure-function relationships and design rules. The likely cause is that many of these peptides permeabilize membranes via highly disordered, heterogeneous mechanisms, forming aggregates without well-defined tertiary or secondary structure. We suggest that the combination of high-throughput library screening with atomistic computer simulations can successfully address this challenge by tuning a previously developed general pore-forming peptide into a selective pore-former for different lipid types. A library of 2916 peptides was designed based on the LDKA template. The library peptides were synthesized and screened using a high-throughput orthogonal vesicle leakage assay. Dyes of different sizes were entrapped inside vesicles with varying lipid composition to simultaneously screen for both pore size and affinity for negatively charged and neutral lipid membranes. From this screen, nine different LDKA variants that have unique activity were selected, sequenced, synthesized, and characterized. Despite the minor sequence changes, each of these peptides has unique functional properties, forming either small or large pores and being selective for either neutral or anionic lipid bilayers. Long-scale, unbiased atomistic molecular dynamics (MD) simulations directly reveal that rather than rigid, well-defined pores, these peptides can form a large repertoire of functional dynamic and heterogeneous aggregates, strongly affected by single mutations. Predicting the propensity to aggregate and assemble in a given environment from sequence alone holds the key to functional prediction of membrane permeabilization.
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14
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Pomplun S, Jbara M, Quartararo AJ, Zhang G, Brown JS, Lee YC, Ye X, Hanna S, Pentelute BL. De Novo Discovery of High-Affinity Peptide Binders for the SARS-CoV-2 Spike Protein. ACS CENTRAL SCIENCE 2021; 7:156-163. [PMID: 33527085 PMCID: PMC7755081 DOI: 10.1021/acscentsci.0c01309] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Indexed: 05/03/2023]
Abstract
The β-coronavirus SARS-CoV-2 has caused a global pandemic. Affinity reagents targeting the SARS-CoV-2 spike protein are of interest for the development of therapeutics and diagnostics. We used affinity selection-mass spectrometry for the rapid discovery of synthetic high-affinity peptide binders for the receptor binding domain (RBD) of the SARS-CoV-2 spike protein. From library screening with 800 million synthetic peptides, we identified three sequences with nanomolar affinities (dissociation constants K d = 80-970 nM) for RBD and selectivity over human serum proteins. Nanomolar RBD concentrations in a biological matrix could be detected using the biotinylated lead peptide in ELISA format. These peptides do not compete for ACE2 binding, and their site of interaction on the SARS-CoV-2-spike-RBD might be unrelated to the ACE2 binding site, making them potential orthogonal reagents for sandwich immunoassays. These findings serve as a starting point for the development of SARS-CoV-2 diagnostics or conjugates for virus-directed delivery of therapeutics.
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Affiliation(s)
- Sebastian Pomplun
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Muhammad Jbara
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Anthony J. Quartararo
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Genwei Zhang
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Joseph S. Brown
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Yen-Chun Lee
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Xiyun Ye
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Stephanie Hanna
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Bradley L. Pentelute
- Department
of Chemistry, Massachusetts Institute of
Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- The
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02142, United States
- Center
for Environmental Health Sciences, Massachusetts
Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Broad
Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, United States
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15
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Freitag F, Wagner E. Optimizing synthetic nucleic acid and protein nanocarriers: The chemical evolution approach. Adv Drug Deliv Rev 2021; 168:30-54. [PMID: 32246984 DOI: 10.1016/j.addr.2020.03.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/10/2020] [Accepted: 03/30/2020] [Indexed: 12/20/2022]
Abstract
Optimizing synthetic nanocarriers is like searching for a needle in a haystack. How to find the most suitable carrier for intracellular delivery of a specified macromolecular nanoagent for a given disease target location? Here, we review different synthetic 'chemical evolution' strategies that have been pursued. Libraries of nanocarriers have been generated either by unbiased combinatorial chemistry or by variation and novel combination of known functional delivery elements. As in natural evolution, definition of nanocarriers as sequences, as barcode or design principle, may fuel chemical evolution. Screening in appropriate test system may not only provide delivery candidates, but also a refined understanding of cellular delivery including novel, unpredictable mechanisms. Combined with rational design and computational algorithms, candidates can be further optimized in subsequent evolution cycles into nanocarriers with improved safety and efficacy. Optimization of nanocarriers differs for various cargos, as illustrated for plasmid DNA, siRNA, mRNA, proteins, or genome-editing nucleases.
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16
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Pomplun S, Gates ZP, Zhang G, Quartararo AJ, Pentelute BL. Discovery of Nucleic Acid Binding Molecules from Combinatorial Biohybrid Nucleobase Peptide Libraries. J Am Chem Soc 2020; 142:19642-19651. [PMID: 33166454 DOI: 10.1021/jacs.0c08964] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Nature has three biopolymers: oligonucleotides, polypeptides, and oligosaccharides. Each biopolymer has independent functions, but when needed, they form mixed assemblies for higher-order purposes, as in the case of ribosomal protein synthesis. Rather than forming large complexes to coordinate the role of different biopolymers, we dovetail protein amino acids and nucleobases into a single low molecular weight precision polyamide polymer. We established efficient chemical synthesis and de novo sequencing procedures and prepared combinatorial libraries with up to 100 million biohybrid molecules. This biohybrid material has a higher bulk affinity to oligonucleotides than peptides composed exclusively of canonical amino acids. Using affinity selection mass spectrometry, we discovered variants with a high affinity for pre-microRNA hairpins. Our platform points toward the development of high throughput discovery of sequence defined polymers with designer properties, such as oligonucleotide binding.
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Affiliation(s)
- Sebastian Pomplun
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Zachary P Gates
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Genwei Zhang
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Anthony J Quartararo
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.,The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, Massachusetts 02142, United States.,Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.,Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, United States
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17
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Chu W, Prodromou R, Day KN, Schneible JD, Bacon KB, Bowen JD, Kilgore RE, Catella CM, Moore BD, Mabe MD, Alashoor K, Xu Y, Xiao Y, Menegatti S. Peptides and pseudopeptide ligands: a powerful toolbox for the affinity purification of current and next-generation biotherapeutics. J Chromatogr A 2020; 1635:461632. [PMID: 33333349 DOI: 10.1016/j.chroma.2020.461632] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/14/2020] [Accepted: 10/15/2020] [Indexed: 02/08/2023]
Abstract
Following the consolidation of therapeutic proteins in the fight against cancer, autoimmune, and neurodegenerative diseases, recent advancements in biochemistry and biotechnology have introduced a host of next-generation biotherapeutics, such as CRISPR-Cas nucleases, stem and car-T cells, and viral vectors for gene therapy. With these drugs entering the clinical pipeline, a new challenge lies ahead: how to manufacture large quantities of high-purity biotherapeutics that meet the growing demand by clinics and biotech companies worldwide. The protein ligands employed by the industry are inadequate to confront this challenge: while featuring high binding affinity and selectivity, these ligands require laborious engineering and expensive manufacturing, are prone to biochemical degradation, and pose safety concerns related to their bacterial origin. Peptides and pseudopeptides make excellent candidates to form a new cohort of ligands for the purification of next-generation biotherapeutics. Peptide-based ligands feature excellent target biorecognition, low or no toxicity and immunogenicity, and can be manufactured affordably at large scale. This work presents a comprehensive and systematic review of the literature on peptide-based ligands and their use in the affinity purification of established and upcoming biological drugs. A comparative analysis is first presented on peptide engineering principles, the development of ligands targeting different biomolecular targets, and the promises and challenges connected to the industrial implementation of peptide ligands. The reviewed literature is organized in (i) conventional (α-)peptides targeting antibodies and other therapeutic proteins, gene therapy products, and therapeutic cells; (ii) cyclic peptides and pseudo-peptides for protein purification and capture of viral and bacterial pathogens; and (iii) the forefront of peptide mimetics, such as β-/γ-peptides, peptoids, foldamers, and stimuli-responsive peptides for advanced processing of biologics.
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Affiliation(s)
- Wenning Chu
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Raphael Prodromou
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Kevin N Day
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - John D Schneible
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Kaitlyn B Bacon
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - John D Bowen
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Ryan E Kilgore
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Carly M Catella
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Brandyn D Moore
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Matthew D Mabe
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606
| | - Kawthar Alashoor
- Department of Biochemistry and Biophysics, University of Rochester, Rochester, NY 14642
| | - Yiman Xu
- College of Material Science and Engineering, Donghua University, 201620 Shanghai, People's Republic of China
| | - Yuanxin Xiao
- College of Textile, Donghua University, Songjiang District, Shanghai, 201620, People's Republic of China
| | - Stefano Menegatti
- Department of Chemical and Biomolecular Engineering, North Carolina State University, 911 Partners Way room 2-009, Raleigh, NC 27606.
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18
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Pomplun S, Shugrue CR, Schmitt AM, Schissel CK, Farquhar CE, Pentelute BL. Secondary Amino Alcohols: Traceless Cleavable Linkers for Use in Affinity Capture and Release. Angew Chem Int Ed Engl 2020. [DOI: 10.1002/ange.202003478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Sebastian Pomplun
- Massachusetts Institute of Technology Department of Chemistry 77 Massachusetts Ave. Cambridge MA 02139 USA
| | - Christopher R. Shugrue
- Massachusetts Institute of Technology Department of Chemistry 77 Massachusetts Ave. Cambridge MA 02139 USA
| | | | - Carly K. Schissel
- Massachusetts Institute of Technology Department of Chemistry 77 Massachusetts Ave. Cambridge MA 02139 USA
| | - Charlotte E. Farquhar
- Massachusetts Institute of Technology Department of Chemistry 77 Massachusetts Ave. Cambridge MA 02139 USA
| | - Bradley L. Pentelute
- Massachusetts Institute of Technology Department of Chemistry 77 Massachusetts Ave. Cambridge MA 02139 USA
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19
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Quartararo AJ, Gates ZP, Somsen BA, Hartrampf N, Ye X, Shimada A, Kajihara Y, Ottmann C, Pentelute BL. Ultra-large chemical libraries for the discovery of high-affinity peptide binders. Nat Commun 2020; 11:3183. [PMID: 32576815 PMCID: PMC7311396 DOI: 10.1038/s41467-020-16920-3] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 05/27/2020] [Indexed: 11/22/2022] Open
Abstract
High-diversity genetically-encoded combinatorial libraries (108-1013 members) are a rich source of peptide-based binding molecules, identified by affinity selection. Synthetic libraries can access broader chemical space, but typically examine only ~ 106 compounds by screening. Here we show that in-solution affinity selection can be interfaced with nano-liquid chromatography-tandem mass spectrometry peptide sequencing to identify binders from fully randomized synthetic libraries of 108 members-a 100-fold gain in diversity over standard practice. To validate this approach, we show that binders to a monoclonal antibody are identified in proportion to library diversity, as diversity is increased from 106-108. These results are then applied to the discovery of p53-like binders to MDM2, and to a family of 3-19 nM-affinity, α/β-peptide-based binders to 14-3-3. An X-ray structure of one of these binders in complex with 14-3-3σ is determined, illustrating the role of β-amino acids in facilitating a key binding contact.
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Affiliation(s)
- Anthony J Quartararo
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Zachary P Gates
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Bente A Somsen
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, PO Box 513, 5600, MB, Eindhoven, Netherlands
| | - Nina Hartrampf
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Xiyun Ye
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Arisa Shimada
- Department of Chemistry, Graduate School of Science, Osaka University, 1-1 Machikaneyama, Toyonaka, Osaka, 560-0043, Japan
| | - Yasuhiro Kajihara
- Department of Chemistry, Graduate School of Science, Osaka University, 1-1 Machikaneyama, Toyonaka, Osaka, 560-0043, Japan
| | - Christian Ottmann
- Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, PO Box 513, 5600, MB, Eindhoven, Netherlands
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA, 02142, USA.
- Center for Environmental Health Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
- Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
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20
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Pomplun S, Shugrue CR, Schmitt AM, Schissel CK, Farquhar CE, Pentelute BL. Secondary Amino Alcohols: Traceless Cleavable Linkers for Use in Affinity Capture and Release. Angew Chem Int Ed Engl 2020; 59:11566-11572. [PMID: 32227406 DOI: 10.1002/anie.202003478] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 03/24/2020] [Indexed: 11/09/2022]
Abstract
Capture and release of peptides is often a critical operation in the pathway to discovering materials with novel functions. However, the best methods for efficient capture impede facile release. To overcome this challenge, we report linkers based on secondary amino alcohols for the release of peptides after capture. These amino alcohols are based on serine (seramox) or isoserine (isoseramox) and can be incorporated into peptides during solid-phase peptide synthesis through reductive amination. Both linkers are quantitatively cleaved within minutes under NaIO4 treatment. Cleavage of isoseramox produced a native peptide N-terminus. This linker also showed broad substrate compatibility; incorporation into a synthetic peptide library resulted in the identification of all sequences by nanoLC-MS/MS. The linkers are cell compatible; a cell-penetrating peptide that contained this linker was efficiently captured and identified after uptake into cells. These findings suggest that such secondary amino alcohol based linkers might be suitable tools for peptide-discovery platforms.
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Affiliation(s)
- Sebastian Pomplun
- Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Christopher R Shugrue
- Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Adeline M Schmitt
- Université de Strasbourg, 4 rue Blaise Pascal, 67000, Strasbourg, France
| | - Carly K Schissel
- Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Charlotte E Farquhar
- Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
| | - Bradley L Pentelute
- Massachusetts Institute of Technology, Department of Chemistry, 77 Massachusetts Ave., Cambridge, MA, 02139, USA
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21
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Bozovičar K, Bratkovič T. Evolving a Peptide: Library Platforms and Diversification Strategies. Int J Mol Sci 2019; 21:E215. [PMID: 31892275 PMCID: PMC6981544 DOI: 10.3390/ijms21010215] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/22/2019] [Accepted: 12/25/2019] [Indexed: 12/22/2022] Open
Abstract
Peptides are widely used in pharmaceutical industry as active pharmaceutical ingredients, versatile tools in drug discovery, and for drug delivery. They find themselves at the crossroads of small molecules and proteins, possessing favorable tissue penetration and the capability to engage into specific and high-affinity interactions with endogenous receptors. One of the commonly employed approaches in peptide discovery and design is to screen combinatorial libraries, comprising a myriad of peptide variants of either chemical or biological origin. In this review, we focus mainly on recombinant peptide libraries, discussing different platforms for their display or expression, and various diversification strategies for library design. We take a look at well-established technologies as well as new developments and future directions.
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Affiliation(s)
| | - Tomaž Bratkovič
- Department of Pharmaceutical Biology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva Cesta 7, SI-1000 Ljubljana, Slovenia;
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22
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Nguyen HQ, Roy J, Harink B, Damle NP, Latorraca NR, Baxter BC, Brower K, Longwell SA, Kortemme T, Thorn KS, Cyert MS, Fordyce PM. Quantitative mapping of protein-peptide affinity landscapes using spectrally encoded beads. eLife 2019; 8:e40499. [PMID: 31282865 PMCID: PMC6728138 DOI: 10.7554/elife.40499] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 07/03/2019] [Indexed: 12/22/2022] Open
Abstract
Transient, regulated binding of globular protein domains to Short Linear Motifs (SLiMs) in disordered regions of other proteins drives cellular signaling. Mapping the energy landscapes of these interactions is essential for deciphering and perturbing signaling networks but is challenging due to their weak affinities. We present a powerful technology (MRBLE-pep) that simultaneously quantifies protein binding to a library of peptides directly synthesized on beads containing unique spectral codes. Using MRBLE-pep, we systematically probe binding of calcineurin (CN), a conserved protein phosphatase essential for the immune response and target of immunosuppressants, to the PxIxIT SLiM. We discover that flanking residues and post-translational modifications critically contribute to PxIxIT-CN affinity and identify CN-binding peptides based on multiple scaffolds with a wide range of affinities. The quantitative biophysical data provided by this approach will improve computational modeling efforts, elucidate a broad range of weak protein-SLiM interactions, and revolutionize our understanding of signaling networks.
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Affiliation(s)
- Huy Quoc Nguyen
- Department of GeneticsStanford UniversityStanfordUnited States
| | - Jagoree Roy
- Department of BiologyStanford UniversityStanfordUnited States
| | - Björn Harink
- Department of GeneticsStanford UniversityStanfordUnited States
| | - Nikhil P Damle
- Department of BiologyStanford UniversityStanfordUnited States
| | | | - Brian C Baxter
- Department of Biochemistry and BiophysicsUniversity of California, San FranciscoSan FranciscoUnited States
| | - Kara Brower
- Department of BioengineeringStanford UniversityStanfordUnited States
| | - Scott A Longwell
- Department of BioengineeringStanford UniversityStanfordUnited States
| | - Tanja Kortemme
- Department of Bioengineering and Therapeutic SciencesUniversity of California, San FranciscoSan FranciscoUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Kurt S Thorn
- Department of Biochemistry and BiophysicsUniversity of California, San FranciscoSan FranciscoUnited States
| | - Martha S Cyert
- Department of BiologyStanford UniversityStanfordUnited States
| | - Polly Morrell Fordyce
- Department of GeneticsStanford UniversityStanfordUnited States
- Department of BioengineeringStanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
- ChEM-H InstituteStanford UniversityStanfordUnited States
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23
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In-solution enrichment identifies peptide inhibitors of protein-protein interactions. Nat Chem Biol 2019; 15:410-418. [PMID: 30886434 DOI: 10.1038/s41589-019-0245-2] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Accepted: 02/13/2019] [Indexed: 12/14/2022]
Abstract
The use of competitive inhibitors to disrupt protein-protein interactions (PPIs) holds great promise for the treatment of disease. However, the discovery of high-affinity inhibitors can be a challenge. Here we report a platform for improving the affinity of peptide-based PPI inhibitors using non-canonical amino acids. The platform utilizes size exclusion-based enrichment from pools of synthetic peptides (1.5-4 kDa) and liquid chromatography-tandem mass spectrometry-based peptide sequencing to identify high-affinity binders to protein targets, without the need for 'reporter' or 'encoding' tags. Using this approach-which is inherently selective for high-affinity binders-we realized gains in affinity of up to ~100- or ~30-fold for binders to the oncogenic ubiquitin ligase MDM2 or HIV capsid protein C-terminal domain, which inhibit MDM2-p53 interaction or HIV capsid protein C-terminal domain dimerization, respectively. Subsequent macrocyclization of select MDM2 inhibitors rendered them cell permeable and cytotoxic toward cancer cells, demonstrating the utility of the identified compounds as functional PPI inhibitors.
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24
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Conibear AC, Muttenthaler M. Advancing the Frontiers of Chemical Protein Synthesis-The 7 th CPS Meeting, Haifa, Israel. Cell Chem Biol 2019; 25:247-254. [PMID: 29547714 DOI: 10.1016/j.chembiol.2018.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The 7th Chemical Protein Synthesis Meeting took place in September 2017 in Haifa, Israel, bringing together 100 scientists from 11 countries. The cutting-edge scientific program included new synthetic strategies and ligation auxiliaries, novel insights into protein signaling and post-translational modifications, and a range of promising therapeutic applications.
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Affiliation(s)
- Anne C Conibear
- Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
| | - Markus Muttenthaler
- Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria; Institute for Molecular Bioscience, The University of Queensland, 4072 Brisbane, Australia.
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25
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Komnatnyy VV, Nielsen TE, Qvortrup K. Bead-based screening in chemical biology and drug discovery. Chem Commun (Camb) 2018; 54:6759-6771. [PMID: 29888365 DOI: 10.1039/c8cc02486c] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
High-throughput screening is an important component of the drug discovery process. The screening of libraries containing hundreds of thousands of compounds requires assays amenable to miniaturisation and automization. Combinatorial chemistry holds a unique promise to deliver structurally diverse libraries for early drug discovery. Among the various library forms, the one-bead-one-compound (OBOC) library, where each bead carries many copies of a single compound, holds the greatest potential for the rapid identification of novel hits against emerging drug targets. However, this potential has not yet been fully realized due to a number of technical obstacles. In this feature article, we review the progress that has been made in bead-based library screening and its application to the discovery of bioactive compounds. We identify the key challenges of this approach and highlight key steps needed for making a greater impact in the field.
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Affiliation(s)
- Vitaly V Komnatnyy
- Department of Chemistry, Technical University of Denmark, DK-2800 Kgs, Lyngby, Denmark.
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Abstract
Chemical methods have enabled the total synthesis of protein molecules of ever-increasing size and complexity. However, methods to engineer synthetic proteins comprising noncanonical amino acids have not kept pace, even though this capability would be a distinct advantage of the total synthesis approach to protein science. In this work, we report a platform for protein engineering based on the screening of synthetic one-bead one-compound protein libraries. Screening throughput approaching that of cell surface display was achieved by a combination of magnetic bead enrichment, flow cytometry analysis of on-bead screens, and high-throughput MS/MS-based sequencing of identified active compounds. Direct screening of a synthetic protein library by these methods resulted in the de novo discovery of mirror-image miniprotein-based binders to a ∼150-kDa protein target, a task that would be difficult or impossible by other means.
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27
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Zhang C, Dai P, Vinogradov AA, Gates ZP, Pentelute BL. Site-Selective Cysteine-Cyclooctyne Conjugation. Angew Chem Int Ed Engl 2018; 57:6459-6463. [PMID: 29575377 DOI: 10.1002/anie.201800860] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/07/2018] [Indexed: 11/06/2022]
Abstract
We report a site-selective cysteine-cyclooctyne conjugation reaction between a seven-residue peptide tag (DBCO-tag, Leu-Cys-Tyr-Pro-Trp-Val-Tyr) at the N or C terminus of a peptide or protein and various aza-dibenzocyclooctyne (DBCO) reagents. Compared to a cysteine peptide control, the DBCO-tag increases the rate of the thiol-yne reaction 220-fold, thereby enabling selective conjugation of DBCO-tag to DBCO-linked fluorescent probes, affinity tags, and cytotoxic drug molecules. Fusion of DBCO-tag with the protein of interest enables regioselective cysteine modification on proteins that contain multiple endogenous cysteines; these examples include green fluorescent protein and the antibody trastuzumab. This study demonstrates that short peptide tags can aid in accelerating bond-forming reactions that are often slow to non-existent in water.
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Affiliation(s)
- Chi Zhang
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Peng Dai
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Alexander A Vinogradov
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Zachary P Gates
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Bradley L Pentelute
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
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Zhang C, Dai P, Vinogradov AA, Gates ZP, Pentelute BL. Site‐Selective Cysteine–Cyclooctyne Conjugation. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201800860] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Chi Zhang
- Department of Chemistry Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA
| | - Peng Dai
- Department of Chemistry Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA
| | - Alexander A. Vinogradov
- Department of Chemistry Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA
| | - Zachary P. Gates
- Department of Chemistry Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA
| | - Bradley L. Pentelute
- Department of Chemistry Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA
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Lang K. Building Peptide Bonds in Haifa: The Seventh Chemical Protein Synthesis (CPS) Meeting. Chembiochem 2018; 19:115-120. [PMID: 29251813 DOI: 10.1002/cbic.201700606] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Indexed: 01/24/2023]
Abstract
The power of CPS, live! More than 90 attendees from around the world came together in Haifa to present and hear about cutting-edge science in protein chemistry, from advances in synthetic methods to applications in biology and medicine. The meeting was a powerful demonstration that chemical protein synthesis can provide otherwise unattainable insights into protein structure and function.
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Affiliation(s)
- Kathrin Lang
- Center for Integrated Protein Science Munich (CIPSM), Department of Chemistry, Group of Synthetic Biochemistry, Technical University of Munich, Institute for Advanced Study, Lichtenbergstrasse 4, 85748, Garching, Germany
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