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Lino BR, Williams SJ, Castor ME, Van Deventer JA. Reaching New Heights in Genetic Code Manipulation with High Throughput Screening. Chem Rev 2024. [PMID: 39418482 DOI: 10.1021/acs.chemrev.4c00329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
The chemical and physical properties of proteins are limited by the 20 canonical amino acids. Genetic code manipulation allows for the incorporation of noncanonical amino acids (ncAAs) that enhance or alter protein functionality. This review explores advances in the three main strategies for introducing ncAAs into biosynthesized proteins, focusing on the role of high throughput screening in these advancements. The first section discusses engineering aminoacyl-tRNA synthetases (aaRSs) and tRNAs, emphasizing how novel selection methods improve characteristics including ncAA incorporation efficiency and selectivity. The second section examines high-throughput techniques for improving protein translation machinery, enabling accommodation of alternative genetic codes. This includes opportunities to enhance ncAA incorporation through engineering cellular components unrelated to translation. The final section highlights various discovery platforms for high-throughput screening of ncAA-containing proteins, showcasing innovative binding ligands and enzymes that are challenging to create with only canonical amino acids. These advances have led to promising drug leads and biocatalysts. Overall, the ability to discover unexpected functionalities through high-throughput methods significantly influences ncAA incorporation and its applications. Future innovations in experimental techniques, along with advancements in computational protein design and machine learning, are poised to further elevate this field.
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Affiliation(s)
- Briana R Lino
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
| | - Sean J Williams
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
| | - Michelle E Castor
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
| | - James A Van Deventer
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
- Biomedical Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
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2
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Curcio A, Rocca R, Alcaro S, Artese A. The Histone Deacetylase Family: Structural Features and Application of Combined Computational Methods. Pharmaceuticals (Basel) 2024; 17:620. [PMID: 38794190 PMCID: PMC11124352 DOI: 10.3390/ph17050620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/03/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
Histone deacetylases (HDACs) are crucial in gene transcription, removing acetyl groups from histones. They also influence the deacetylation of non-histone proteins, contributing to the regulation of various biological processes. Thus, HDACs play pivotal roles in various diseases, including cancer, neurodegenerative disorders, and inflammatory conditions, highlighting their potential as therapeutic targets. This paper reviews the structure and function of the four classes of human HDACs. While four HDAC inhibitors are currently available for treating hematological malignancies, numerous others are undergoing clinical trials. However, their non-selective toxicity necessitates ongoing research into safer and more efficient class-selective or isoform-selective inhibitors. Computational methods have aided the discovery of HDAC inhibitors with the desired potency and/or selectivity. These methods include ligand-based approaches, such as scaffold hopping, pharmacophore modeling, three-dimensional quantitative structure-activity relationships, and structure-based virtual screening (molecular docking). Moreover, recent developments in the field of molecular dynamics simulations, combined with Poisson-Boltzmann/molecular mechanics generalized Born surface area techniques, have improved the prediction of ligand binding affinity. In this review, we delve into the ways in which these methods have contributed to designing and identifying HDAC inhibitors.
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Affiliation(s)
- Antonio Curcio
- Dipartimento di Scienze della Salute, Campus “S. Venuta”, Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy; (A.C.); (S.A.); (A.A.)
| | - Roberta Rocca
- Dipartimento di Scienze della Salute, Campus “S. Venuta”, Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy; (A.C.); (S.A.); (A.A.)
- Net4Science S.r.l., Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy
| | - Stefano Alcaro
- Dipartimento di Scienze della Salute, Campus “S. Venuta”, Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy; (A.C.); (S.A.); (A.A.)
- Net4Science S.r.l., Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy
| | - Anna Artese
- Dipartimento di Scienze della Salute, Campus “S. Venuta”, Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy; (A.C.); (S.A.); (A.A.)
- Net4Science S.r.l., Università degli Studi “Magna Græcia” di Catanzaro, Viale Europa, 88100 Catanzaro, Italy
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3
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Hampton JT, Liu WR. Diversification of Phage-Displayed Peptide Libraries with Noncanonical Amino Acid Mutagenesis and Chemical Modification. Chem Rev 2024; 124:6051-6077. [PMID: 38686960 PMCID: PMC11082904 DOI: 10.1021/acs.chemrev.4c00004] [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: 01/02/2024] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 05/02/2024]
Abstract
Sitting on the interface between biologics and small molecules, peptides represent an emerging class of therapeutics. Numerous techniques have been developed in the past 30 years to take advantage of biological methods to generate and screen peptide libraries for the identification of therapeutic compounds, with phage display being one of the most accessible techniques. Although traditional phage display can generate billions of peptides simultaneously, it is limited to expression of canonical amino acids. Recently, several groups have successfully undergone efforts to apply genetic code expansion to introduce noncanonical amino acids (ncAAs) with novel reactivities and chemistries into phage-displayed peptide libraries. In addition to biological methods, several different chemical approaches have also been used to install noncanonical motifs into phage libraries. This review focuses on these recent advances that have taken advantage of both biological and chemical means for diversification of phage libraries with ncAAs.
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Affiliation(s)
- J. Trae Hampton
- Texas
A&M Drug Discovery Center and Department of Chemistry, College
of Arts and Sciences, Texas A&M University, College Station, Texas 77843, United States
| | - Wenshe Ray Liu
- Texas
A&M Drug Discovery Center and Department of Chemistry, College
of Arts and Sciences, Texas A&M University, College Station, Texas 77843, United States
- Institute
of Biosciences and Technology and Department of Translational Medical
Sciences, College of Medicine, Texas A&M
University, Houston, Texas 77030, United States
- Department
of Biochemistry and Biophysics, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas 77843, United States
- Department
of Cell Biology and Genetics, College of Medicine, Texas A&M University, College
Station, Texas 77843, United States
- Department
of Pharmaceutical Sciences, Irma Lerma Rangel College of Pharmacy, Texas A&M University, College Station, Texas 77843, United States
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4
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Chen PH, Guo XS, Zhang HE, Dubey GK, Geng ZZ, Fierke CA, Xu S, Hampton JT, Liu WR. Leveraging a Phage-Encoded Noncanonical Amino Acid: A Novel Pathway to Potent and Selective Epigenetic Reader Protein Inhibitors. ACS CENTRAL SCIENCE 2024; 10:782-792. [PMID: 38680566 PMCID: PMC11046469 DOI: 10.1021/acscentsci.3c01419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 05/01/2024]
Abstract
Epigenetic reader proteins interpret histone epigenetic marks to regulate gene expression. Given their vital roles and the link between their dysfunction and various diseases, these proteins present compelling targets for therapeutic interventions. Nevertheless, designing selective inhibitors for these proteins poses significant challenges, primarily due to their unique properties such as shallow binding sites and similarities with homologous proteins. To overcome these challenges, we propose an innovative strategy that uses phage display with a genetically encoded noncanonical amino acid (ncAA) containing an epigenetic mark. This ncAA guides binding to the reader protein's active site, allowing the identification of peptide inhibitors with enhanced affinity and selectivity. In this study, we demonstrate this novel approach's effectiveness by identifying potent inhibitors for the ENL YEATS domain that plays a critical role in leukemogenesis. Our strategy involved genetically incorporating Nε-butyryl-l-lysine (BuK), known for its binding to ENL YEATS, into a phage display library for enriching the pool of potent inhibitors. One resultant hit was further optimized by substituting BuK with other pharmacophores to exploit a unique π-π-π stacking interaction with ENL YEATS. This led to the creation of selective ENL YEATS inhibitors with a KD value of 2.0 nM and a selectivity 28 times higher for ENL YEATS than its close homologue AF9 YEATS. One such inhibitor, tENL-S1f, demonstrated robust cellular target engagement and on-target effects to inhibit leukemia cell growth and suppress the expression of ENL target genes. As a pioneering study, this work opens up extensive avenues for the development of potent and selective peptidyl inhibitors for a broad spectrum of epigenetic reader proteins.
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Affiliation(s)
- Peng-Hsun
Chase Chen
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
| | - Xuejiao Shirley Guo
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
| | - Hanyuan Eric Zhang
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
| | - Gopal K. Dubey
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
| | - Zhi Zachary Geng
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
| | - Carol A. Fierke
- Department
of Biochemistry, Brandeis University, Waltham, Massachusetts 02453, United States
| | - Shiqing Xu
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
- Department
of Pharmaceutical Sciences, Texas A&M
University, College
Station, Texas 77843, United States
| | - J. Trae Hampton
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
| | - Wenshe Ray Liu
- Texas
A&M Drug Discovery Center and Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States
- Department
of Pharmaceutical Sciences, Texas A&M
University, College
Station, Texas 77843, United States
- Institute
of Biosciences and Technology and Department of Translational Medical
Sciences, College of Medicine, Texas A&M
University, Houston, Texas 77030, United States
- Department
of Biochemistry and Biophysics, Texas A&M
University, College
Station, Texas 77843, United States
- Department
of Cell Biology and Genetics, College of Medicine, Texas A&M University, College Station, Texas 77843, United States
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5
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Han H, Feng X, He T, Wu Y, He T, Yue Z, Zhou W. Discussion on structure classification and regulation function of histone deacetylase and their inhibitor. Chem Biol Drug Des 2024; 103:e14366. [PMID: 37776270 DOI: 10.1111/cbdd.14366] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 10/02/2023]
Abstract
Epigenetic regulation of genes through posttranslational regulation of proteins is a well-explored approach for disease treatment, particularly in cancer chemotherapy. Histone deacetylases have shown significant potential as effective drug targets in therapeutic studies aiming to restore epigenetic normality in oncology. Besides their role in modifying histones, histone deacetylases can also catalyze the deacetylation of various nonhistone proteins and participate in the regulation of multiple biological processes. This paper provides a review of the classification, structure, and functional characteristics of the four classes of human histone deacetylases. The increasing abundance of structural information on HDACs has led to the gradual elucidation of structural differences among subgroups and subtypes. This has provided a reasonable explanation for the selectivity of certain HDAC inhibitors. Currently, the US FDA has approved a total of six HDAC inhibitors for marketing, primarily for the treatment of various hematological tumors and a few solid tumors. These inhibitors all have a common pharmacodynamic moiety consisting of three parts: CAP, ZBG, and Linker. In this paper, the structure-effect relationship of HDAC inhibitors is explored by classifying the six HDAC inhibitors into three main groups: isohydroxamic acids, benzamides, and cyclic peptides, based on the type of inhibitor ZBG. However, there are still many questions that need to be answered in this field. In this paper, the structure-functional characteristics of HDACs and the structural information of the pharmacophore model and enzyme active region of HDAC is are considered, which can help to understand the inhibition mechanism of the compounds as well as the rational design of HDACs. This paper integrates the structural-functional characteristics of HDACs as well as the pharmacophore model of HDAC is and the structural information of the enzymatic active region, which not only contributes to the understanding of the inhibition mechanism of the compounds, but also provides a basis for the rational design of HDAC inhibitors.
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Affiliation(s)
- Han Han
- Department of Biochemistry and Molecular Biology, Shenyang Medical College, Shenyang City, P. R. China
| | - Xue Feng
- Department of Pathogen Biology, Shenyang Medical College, Shenyang City, P. R. China
| | - Ting He
- Department of Pathogen Biology, Shenyang Medical College, Shenyang City, P. R. China
| | - Yingfan Wu
- Department of Pathogen Biology, Shenyang Medical College, Shenyang City, P. R. China
| | - Tianmei He
- Department of Pathogen Biology, Shenyang Medical College, Shenyang City, P. R. China
| | - Ziwen Yue
- Department of Pathogen Biology, Shenyang Medical College, Shenyang City, P. R. China
| | - Weiqiang Zhou
- Department of Pathogen Biology, Shenyang Medical College, Shenyang City, P. R. China
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Morse JS, Sheng YJ, Hampton JT, Sylvain LD, Das S, Alugubelli YR, Chen PC, Yang KS, Xu S, Fierke CA, Liu WR. Phage-assisted, active site-directed ligand evolution of a potent and selective histone deacetylase 8 inhibitor. Protein Sci 2022; 31:e4512. [PMID: 36382882 PMCID: PMC9703592 DOI: 10.1002/pro.4512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/04/2022] [Accepted: 11/11/2022] [Indexed: 11/17/2022]
Abstract
Phage-assisted, active site-directed ligand evolution (PADLE) is a recently developed technique that uses an amber codon-encoded noncanonical amino acid (ncAA) as an anchor to direct phage-displayed peptides to a target for an enhanced ligand identification process. 2-Amino-8-oxodecanoic acid (Aoda) is a ketone-containing ncAA residue in the macrocyclic peptide natural product apicidin that is a pan-inhibitor of Zn2+ -dependent histone deacetylases (HDACs). Its ketone serves as an anchoring point to coordinate the catalytic zinc ion in HDACs. Using a previously evolved N𝜀 -acetyl-lysyl-tRNA synthetase in combination with tRNAPyl , we showed that Aoda was efficiently incorporated into proteins in Escherichia coli by amber suppression. By propagating an amber codon-obligate phagemid library in E. coli encoding Aoda, we generated an Aoda-containing phage-displayed peptide library. Using this library to conduct PADLE against HDAC8 revealed a 7-mer peptide GH8P01F1 with Aoda-flanking amino acid residues that matched existing peptide sequences in identified HDAC8 substrates. Switching Aoda in GH8P01F1 to a more Zn2+ -chelating ncAA S-2-amino-8-hydroxyamino-8-oxooctanoic acid (Asuha) led to an extremely potent compound GH8HA01, which has an HDAC8-inhibition Ki value of 0.67 nM. GH8HA01 and its 5-mer truncation analogue Ac-GH8HA01Δ1Δ7 that has an HDAC8-inhibition Ki value of 0.31 nM are two of the most potent HDAC8 inhibitors that have been developed. Furthermore, both are highly selective against HDAC8 compared with other HDACs tested, demonstrating the great potential of using PADLE to identify highly potent and selective ligands for targets with conserved active sites among homologues.
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Affiliation(s)
- Jared S. Morse
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Yan J. Sheng
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Joshua Trae Hampton
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Lauralee D. Sylvain
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Sukant Das
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Yugendar R. Alugubelli
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Peng‐Hsun Chase Chen
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Kai S. Yang
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Shiqing Xu
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
| | - Carol A. Fierke
- Department of BiochemistryBrandeis UniversityWalthamMassachusettsUSA
| | - Wenshe Ray Liu
- Texas A&M Drug Discovery Laboratory, Department of ChemistryTexas A&M UniversityTexasUSA
- Institute of Biosciences and Technology and Department of Translational Medical Sciences, College of MedicineTexas A&M UniversityHoustonTexasUSA
- Department of Biochemistry and BiophysicsTexas A&M UniversityTexasUSA
- Department of Molecular and Cellular Medicine, College of MedicineTexas A&M UniversityTexasUSA
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