» Articles » PMID: 30672692

Quantitative Comparison of Enrichment from DNA-Encoded Chemical Library Selections

Overview
Journal ACS Comb Sci
Specialty Chemistry
Date 2019 Jan 24
PMID 30672692
Citations 26
Authors
Affiliations
Soon will be listed here.
Abstract

DNA-encoded chemical libraries (DELs) provide a high-throughput and cost-effective route for screening billions of unique molecules for binding affinity for diverse protein targets. Identifying candidate compounds from these libraries involves affinity selection, DNA sequencing, and measuring enrichment in a sample pool of DNA barcodes. Successful detection of potent binders is affected by many factors, including selection parameters, chemical yields, library amplification, sequencing depth, sequencing errors, library sizes, and the chosen enrichment metric. To date, there has not been a clear consensus about how enrichment from DEL selections should be measured or reported. We propose a normalized  z-score enrichment metric using a binomial distribution model that satisfies important criteria that are relevant for analysis of DEL selection data. The introduced metric is robust with respect to library diversity and sampling and allows for quantitative comparisons of enrichment of n-synthons from parallel DEL selections. These features enable a comparative enrichment analysis strategy that can provide valuable information about hit compounds in early stage drug discovery.

Citing Articles

Open-Source DNA-Encoded Library Package for Design, Decoding and Analysis: DELi.

Wellnitz J, Novy B, Novy B, Maxfield T, Zhilinskaya I, Lin J bioRxiv. 2025; .

PMID: 40060514 PMC: 11888370. DOI: 10.1101/2025.02.25.640184.


Identification of Structurally Novel KRAS Inhibitors through Covalent DNA-Encoded Library Screening.

Huang D, Manoni F, Sun Z, Liu R, Allen J, Banerjee A J Med Chem. 2025; 68(4):4801-4817.

PMID: 39930787 PMC: 11873997. DOI: 10.1021/acs.jmedchem.4c03071.


Discovery of highly potent and ALK2/ALK1 selective kinase inhibitors using DNA-encoded chemistry technology.

Jimmidi R, Monsivais D, Ta H, Sharma K, Bohren K, Chamakuri S Proc Natl Acad Sci U S A. 2024; 121(47):e2413108121.

PMID: 39541346 PMC: 11588046. DOI: 10.1073/pnas.2413108121.


The long road of drug development for endometriosis - Pains, gains, and hopes.

Liao Z, Monsivais D, Matzuk M J Control Release. 2024; 376:429-440.

PMID: 39427778 PMC: 11884332. DOI: 10.1016/j.jconrel.2024.10.036.


Identification of potent pan-ephrin receptor kinase inhibitors using DNA-encoded chemistry technology.

Madasu C, Liao Z, Parks S, Sharma K, Bohren K, Ye Q Proc Natl Acad Sci U S A. 2024; 121(19):e2322934121.

PMID: 38701119 PMC: 11087803. DOI: 10.1073/pnas.2322934121.


References
1.
Buller F, Steiner M, Scheuermann J, Mannocci L, Nissen I, Kohler M . High-throughput sequencing for the identification of binding molecules from DNA-encoded chemical libraries. Bioorg Med Chem Lett. 2010; 20(14):4188-92. DOI: 10.1016/j.bmcl.2010.05.053. View

2.
Litovchick A, Dumelin C, Habeshian S, Gikunju D, Guie M, Centrella P . Encoded Library Synthesis Using Chemical Ligation and the Discovery of sEH Inhibitors from a 334-Million Member Library. Sci Rep. 2015; 5:10916. PMC: 4603778. DOI: 10.1038/srep10916. View

3.
Brenner S, Lerner R . Encoded combinatorial chemistry. Proc Natl Acad Sci U S A. 1992; 89(12):5381-3. PMC: 49295. DOI: 10.1073/pnas.89.12.5381. View

4.
Kuai L, OKeeffe T, Arico-Muendel C . Randomness in DNA Encoded Library Selection Data Can Be Modeled for More Reliable Enrichment Calculation. SLAS Discov. 2018; 23(5):405-416. DOI: 10.1177/2472555218757718. View

5.
Encinas L, OKeefe H, Neu M, Remuinan M, Patel A, Guardia A . Encoded library technology as a source of hits for the discovery and lead optimization of a potent and selective class of bactericidal direct inhibitors of Mycobacterium tuberculosis InhA. J Med Chem. 2014; 57(4):1276-88. DOI: 10.1021/jm401326j. View