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Wichert M, Guasch L, Franzini RM. Challenges and Prospects of DNA-Encoded Library Data Interpretation. Chem Rev 2024; 124:12551-12572. [PMID: 39508428 DOI: 10.1021/acs.chemrev.4c00284] [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: 11/15/2024]
Abstract
DNA-encoded library (DEL) technology is a powerful platform for the efficient identification of novel chemical matter in the early drug discovery process enabled by parallel screening of vast libraries of encoded small molecules through affinity selection and deep sequencing. While DEL selections provide rich data sets for computational drug discovery, the underlying technical factors influencing DEL data remain incompletely understood. This review systematically examines the key parameters affecting the chemical information in DEL data and their impact on hit triaging and machine learning integration. The need for rigorous data handling and interpretation is emphasized, with standardized methods being critical for the success of DEL-based approaches. Major challenges include the relationship between sequence counts and binding affinities, frequent hitters, and the influence of factors such as inhomogeneous library composition, DNA damage, and linkers on binding modes. Experimental artifacts, such as those caused by protein immobilization and screening matrix effects, further complicate data interpretation. Recent advancements in using machine learning to denoise DEL data and predict drug candidates are highlighted. This review offers practical guidance on adopting best practices for integrating robust methodologies, comprehensive data analysis, and computational tools to improve the accuracy and efficacy of DEL-driven hit discovery.
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Affiliation(s)
- Moreno Wichert
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Laura Guasch
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Raphael M Franzini
- Department of Medicinal Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
- Huntsman Cancer Institute, Salt Lake City, Utah 84112, United States
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2
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Fitzgerald P, Dixit A, Zhang C, Mobley DL, Paegel BM. Building Block-Centric Approach to DNA-Encoded Library Design. J Chem Inf Model 2024; 64:4661-4672. [PMID: 38860710 PMCID: PMC11200258 DOI: 10.1021/acs.jcim.4c00232] [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: 02/08/2024] [Revised: 06/02/2024] [Accepted: 06/03/2024] [Indexed: 06/12/2024]
Abstract
DNA-encoded library technology grants access to nearly infinite opportunities to explore the chemical structure space for drug discovery. Successful navigation depends on the design and synthesis of libraries with appropriate physicochemical properties (PCPs) and structural diversity while aligning with practical considerations. To this end, we analyze combinatorial library design constraints including the number of chemistry cycles, bond construction strategies, and building block (BB) class selection in pursuit of ideal library designs. We compare two-cycle library designs (amino acid + carboxylic acid, primary amine + carboxylic acid) in the context of PCPs and chemical space coverage, given different BB selection strategies and constraints. We find that broad availability of amines and acids is essential for enabling the widest exploration of chemical space. Surprisingly, cost is not a driving factor, and virtually, the same chemical space can be explored with "budget" BBs.
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Affiliation(s)
- Patrick
R. Fitzgerald
- Skaggs
Doctoral Program in the Chemical and Biological Sciences, Scripps Research, La Jolla, California 92037, United States
| | - Anjali Dixit
- Department
of Pharmaceutical Sciences, University of
California, Irvine, California 92697, United States
| | - Chris Zhang
- Department
of Chemistry, University of California, Irvine, California 92697, United States
| | - David L. Mobley
- Department
of Pharmaceutical Sciences, University of
California, Irvine, California 92697, United States
- Department
of Chemistry, University of California, Irvine, California 92697, United States
| | - Brian M. Paegel
- Department
of Pharmaceutical Sciences, University of
California, Irvine, California 92697, United States
- Department
of Chemistry, University of California, Irvine, California 92697, United States
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Prudent R, Lemoine H, Walsh J, Roche D. Affinity selection mass spectrometry speeding drug discovery. Drug Discov Today 2023; 28:103760. [PMID: 37660985 DOI: 10.1016/j.drudis.2023.103760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/21/2023] [Accepted: 08/29/2023] [Indexed: 09/05/2023]
Abstract
Affinity selection mass spectrometry (AS-MS) has gained momentum in drug discovery. This review summarizes how this technology has slowly risen as a new paradigm in hit identification and its potential synergy with DNA encoded library technology. It presents an overview of the recent results on challenging targets and perspectives on new areas of research, such as RNA targeting with small molecules. The versatility of the approach is illustrated and strategic drivers discussed in terms of the experience of a small-medium CRO and a big pharma organization.
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Affiliation(s)
| | | | - Jarrod Walsh
- High Throughput Screening, Hit Discovery, Discovery Sciences, R&D Biopharmaceuticals, AstraZeneca, Alderley Park, UK
| | - Didier Roche
- Edelris, Bioparc, Bioserra 1 Building, Lyon, France.
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Fitzgerald P, Cochrane WG, Paegel BM. Dose-Response Activity-Based DNA-Encoded Library Screening. ACS Med Chem Lett 2023; 14:1295-1303. [PMID: 37736190 PMCID: PMC10510511 DOI: 10.1021/acsmedchemlett.3c00159] [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: 04/25/2023] [Accepted: 08/04/2023] [Indexed: 09/23/2023] Open
Abstract
Dose-response, or "conforming" behavior, increases confidence in a screening hit's authenticity. Here, we demonstrate dose-response solid-phase DNA-encoded library (DEL) screening. Compound dose in microfluidic droplets is modulated via the UV intensity of photocleavage from DEL beads. A 55,296-member DEL was screened at different UV intensities against model enzyme drug targets factor Xa (FXa) and autotaxin (ATX). Both screens yielded photochemical dose-dependent hit rates (FXa hit rates of 0.08/0.05% at 100/30% UV exposure; ATX hit rates of 0.24/0.08% at 100/20% UV exposure). FXa hits contained structures reflective of FXa inhibitors and four hits inhibited FXa (IC50 = 4.2 ± 0.1, 7.4 ± 0.3, 9.0 ± 0.3, and 19 ± 2 μM.) The top ATX hits (two dihydrobenzamidazolones and a tetrahydroisoquinoline) were validated as inhibitors (IC50 = 7 ± 2, 13 ± 2, and 1 ± 0.3 μM). Photochemical dose-response DEL screening data prioritized hits for synthesis, the rate-limiting step in DEL lead identification.
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Affiliation(s)
- Patrick
R. Fitzgerald
- Skaggs
Doctoral Program in the Chemical and Biological Sciences, Scripps Research, La Jolla, California 92037, United States
| | - Wesley G. Cochrane
- Department
of Pharmaceutical Sciences, University of
California, Irvine, California 92697, United States
| | - Brian M. Paegel
- Department
of Pharmaceutical Sciences, University of
California, Irvine, California 92697, United States
- Departments
of Chemistry & Biomedical Engineering, University of California, Irvine, California 92697, United States
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Ye Q, Belabed H, Wang Y, Yu Z, Palaniappan M, Li JY, Kalovidouris SA, MacKenzie KR, Teng M, Young DW, Fujihara Y, Matzuk MM. Advancing ASMS with LC-MS/MS for the discovery of novel PDCL2 ligands from DNA-encoded chemical library selections. Andrology 2023; 11:808-815. [PMID: 36209044 PMCID: PMC11299427 DOI: 10.1111/andr.13309] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/30/2022] [Accepted: 09/28/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND A safe, effective, and reversible nonhormonal male contraceptive drug is greatly needed for male contraception as well as for circumventing the side effects of female hormonal contraceptives. Phosducin-like 2 (PDCL2) is a testis-specific phosphoprotein in mice and humans. We recently found that male PDCL2 knockout mice are sterile due to globozoospermia caused by impaired sperm head formation, indicating that PDCL2 is a potential target for male contraception. Herein, our study for the first time developed a biophysical assay for PDCL2 allowing us to screen a series of small molecules, to study structure-activity relationships, and to discover two PDCL2 binders with novel chemical structure. OBJECTIVE To identify a PDCL2 ligand for therapeutic male contraception, we performed DNA-encoded chemical library (DECL) screening and off-DNA hit validation using a unique affinity selection mass spectrometry (ASMS) biophysical profiling strategy. MATERIALS AND METHODS We employed the screening process of DECL, which contains billions of chemically unique DNA-barcoded compounds generated through individual sequences of reactions and different combinations of functionalized building blocks. The structures of the PDCL2 binders are proposed based on the sequencing analysis of the DNA barcode attached to each individual DECL compound. The proposed structure is synthesized through multistep reactions. To confirm and determine binding affinity between the DECL identified molecules and PDCL2, we developed an ASMS assay that incorporates liquid chromatography with tandem mass spectrometry (LC-MS/MS). RESULTS After a screening process of PDCL2 with DECLs containing >440 billion compounds, we identified a series of hits. The selected compounds were synthesized as off-DNA small molecules, characterized by spectroscopy data, and subjected to our ASMS/LC-MS/MS binding assay. By this assay, we discovered two novel compounds, which showed good binding affinity for PDCL2 in comparison to other molecules generated in our laboratory and which were further confirmed by a thermal shift assay. DISCUSSION AND CONCLUSION AND RELEVANCE With the ASMS/LC-MS/MS assay developed in this paper, we successfully discovered a PDCL2 ligand that warrants further development as a male contraceptive.
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Affiliation(s)
- Qiuji Ye
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Hassane Belabed
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Yong Wang
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Zhifeng Yu
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Murugesan Palaniappan
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Jian-Yuan Li
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Stacey A. Kalovidouris
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
| | - Kevin R. MacKenzie
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, Texas, USA
| | - Mingxing Teng
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, Texas, USA
| | - Damian W. Young
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, Texas, USA
| | - Yoshitaka Fujihara
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
- National Cerebral and Cardiovascular Center, Suita, Japan
| | - Martin M. Matzuk
- Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas, USA
- Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, Texas, USA
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Zhu H, Foley TL, Montgomery JI, Stanton RV. Understanding Data Noise and Uncertainty through Analysis of Replicate Samples in DNA-Encoded Library Selection. J Chem Inf Model 2021; 62:2239-2247. [PMID: 34865473 DOI: 10.1021/acs.jcim.1c00986] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
By analyzing data sets of replicate DNA-Encoded Library (DEL) selections, an approach for estimating the noise level of the experiment has been developed. Using a logarithm transformation of the number of counts associated with each compound and a subset of compounds with the highest number of counts, it is possible to assess the quality of the data through normalizing the replicates and use this same data to estimate the noise in the experiment. The noise level is seen to be dependent on sequencing depth as well as specific selection conditions. The noise estimation is independent of any cutoff used to remove low frequency compounds from the data analysis. The removal of compounds with only 1-5 read counts greatly reduces some of the challenges encountered in DEL data analysis as it can reduce the data set by greater than 100-fold without impacting the interpretation of the results.
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Affiliation(s)
- Hongyao Zhu
- Simulation and Modelling Sciences, Pfizer Inc., Groton, Connecticut 06340, United States
| | - Timothy L Foley
- Discovery Sciences, Pfizer Inc., Groton, Connecticut 06340, United States
| | | | - Robert V Stanton
- Simulation and Modelling Sciences, Pfizer Inc., Cambridge, Massachusetts 02139, United States
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7
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Xia B, Franklin GJ, Lu X, Bedard KL, Grady LC, Summerfield JD, Shi EX, King BW, Lind KE, Chiu C, Watts E, Bodmer V, Bai X, Marcaurelle LA. DNA-Encoded Library Hit Confirmation: Bridging the Gap Between On-DNA and Off-DNA Chemistry. ACS Med Chem Lett 2021; 12:1166-1172. [PMID: 34267887 PMCID: PMC8274064 DOI: 10.1021/acsmedchemlett.1c00156] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 05/20/2021] [Indexed: 11/29/2022] Open
Abstract
DNA-encoded library (DEL) technology is a powerful platform for hit identification in academia and the pharmaceutical industry. When conducting off-DNA resynthesis hit confirmation after affinity selection, PCR/sequencing, and data analysis, one typically assumes a "one-to-one" relationship between the DNA tag and the chemical structure of the attached small-molecule it encodes. Because library synthesis often yields a mixture, this approximation increases the risk of overlooking positive discoveries and valuable information. To address this issue, we apply a library synthesis "recipe" strategy for on-DNA resynthesis using a cleavable linker, followed by direct affinity selection mass spectrometry (AS-MS) evaluation and identification of binder(s) from the released small-molecule mixture. We validate and showcase this approach employing the receptor-interacting-protein kinase 2 (RIP2) DEL campaign. We also designed and developed two cleavable linkers to enable this method, a photocleavable linker (nitrophenyl-based) and acid-labile linker (tetrahydropyranyl ether). The strategy provides an effective means of hit identification and rapid determination of key active component(s) of the mixture.
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Affiliation(s)
- Bing Xia
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - G. Joseph Franklin
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Xiaojie Lu
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Katie L. Bedard
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - LaShadric C. Grady
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Jennifer D. Summerfield
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Eric X. Shi
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Bryan W. King
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - Kenneth E. Lind
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Cynthia Chiu
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Eleanor Watts
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Vera Bodmer
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Xiaopeng Bai
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
| | - Lisa A. Marcaurelle
- Encoded
Library Technologies/NCE Molecular Discovery, R&D Medicinal Science
and Technology, GlaxoSmithKline, 200 Cambridge Park Drive, Cambridge, Massachusetts 02140, United States
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