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  1. Article ; Online: The Use of Informer Sets in Screening: Perspectives on an Efficient Strategy to Identify New Probes.

    Clemons, Paul A / Bittker, Joshua A / Wagner, Florence F / Hands, Allison / Dančík, Vlado / Schreiber, Stuart L / Choudhary, Amit / Wagner, Bridget K

    SLAS discovery : advancing life sciences R & D

    2021  Volume 26, Issue 7, Page(s) 855–861

    Abstract: Small-molecule discovery typically involves large-scale screening campaigns, spanning multiple compound collections. However, such activities can be cost- or time-prohibitive, especially when using complex assay systems, limiting the number of compounds ... ...

    Abstract Small-molecule discovery typically involves large-scale screening campaigns, spanning multiple compound collections. However, such activities can be cost- or time-prohibitive, especially when using complex assay systems, limiting the number of compounds tested. Further, low hit rates can make the process inefficient. Sparse coverage of chemical structure or biological activity space can lead to limited success in a primary screen and represents a missed opportunity by virtue of selecting the "wrong" compounds to test. Thus, the choice of screening collections becomes of paramount importance. In this perspective, we discuss the utility of generating "informer sets" for small-molecule discovery, and how this strategy can be leveraged to prioritize probe candidates. While many researchers may assume that informer sets are focused on particular targets (e.g., kinases) or processes (e.g., autophagy), efforts to assemble informer sets based on historical bioactivity or successful human exposure (e.g., repurposing collections) have shown promise as well. Another method for generating informer sets is based on chemical structure, particularly when the compounds have unknown activities and targets. We describe our efforts to screen an informer set representing a collection of 100,000 small molecules synthesized through diversity-oriented synthesis (DOS). This process enables researchers to identify activity early and more extensively screen only a few chemical scaffolds, rather than the entire collection. This elegant and economic outcome is a goal of the informer set approach. Here, we aim not only to shed light on this process, but also to promote the use of informer sets more widely in small-molecule discovery projects.
    MeSH term(s) Drug Discovery/methods ; Drug Evaluation, Preclinical/methods ; Humans ; Small Molecule Libraries ; Structure-Activity Relationship
    Chemical Substances Small Molecule Libraries
    Language English
    Publishing date 2021-06-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2885123-7
    ISSN 2472-5560 ; 2472-5552
    ISSN (online) 2472-5560
    ISSN 2472-5552
    DOI 10.1177/24725552211019410
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Geometrical variations of two manganese(II) complexes with closely related quinoline-based tripodal ligands.

    Frey, Steven T / Ballot, Jasper G / Hands, Allison / Cirka, Haley A / Rinaolo, Katheryn C / Phalkun, Nich N / Kaur, Manpreet / Jasinski, Jerry P

    Acta crystallographica. Section E, Crystallographic communications

    2021  Volume 77, Issue Pt 10, Page(s) 982–988

    Abstract: Structural analyses of the compounds di-μ-acetato- ... ...

    Abstract Structural analyses of the compounds di-μ-acetato-κ
    Language English
    Publishing date 2021-09-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041947-8
    ISSN 2056-9890 ; 1600-5368
    ISSN 2056-9890 ; 1600-5368
    DOI 10.1107/S2056989021009786
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Virtual screening for small-molecule pathway regulators by image-profile matching.

    Rohban, Mohammad H / Fuller, Ashley M / Tan, Ceryl / Goldstein, Jonathan T / Syangtan, Deepsing / Gutnick, Amos / DeVine, Ann / Nijsure, Madhura P / Rigby, Megan / Sacher, Joshua R / Corsello, Steven M / Peppler, Grace B / Bogaczynska, Marta / Boghossian, Andrew / Ciotti, Gabrielle E / Hands, Allison T / Mekareeya, Aroonroj / Doan, Minh / Gale, Jennifer P /
    Derynck, Rik / Turbyville, Thomas / Boerckel, Joel D / Singh, Shantanu / Kiessling, Laura L / Schwarz, Thomas L / Varelas, Xaralabos / Wagner, Florence F / Kafri, Ran / Eisinger-Mathason, T S Karin / Carpenter, Anne E

    Cell systems

    2022  Volume 13, Issue 9, Page(s) 724–736.e9

    Abstract: Identifying the chemical regulators of biological pathways is a time-consuming bottleneck in developing therapeutics and research compounds. Typically, thousands to millions of candidate small molecules are tested in target-based biochemical screens or ... ...

    Abstract Identifying the chemical regulators of biological pathways is a time-consuming bottleneck in developing therapeutics and research compounds. Typically, thousands to millions of candidate small molecules are tested in target-based biochemical screens or phenotypic cell-based screens, both expensive experiments customized to each disease. Here, our uncustomized, virtual, profile-based screening approach instead identifies compounds that match to pathways based on the phenotypic information in public cell image data, created using the Cell Painting assay. Our straightforward correlation-based computational strategy retrospectively uncovered the expected, known small-molecule regulators for 32% of positive-control gene queries. In prospective, discovery mode, we efficiently identified new compounds related to three query genes and validated them in subsequent gene-relevant assays, including compounds that phenocopy or pheno-oppose YAP1 overexpression and kill a Yap1-dependent sarcoma cell line. This image-profile-based approach could replace many customized labor- and resource-intensive screens and accelerate the discovery of biologically and therapeutically useful compounds.
    MeSH term(s) Cell Line ; Prospective Studies ; Retrospective Studies
    Language English
    Publishing date 2022-09-02
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2854138-8
    ISSN 2405-4720 ; 2405-4712
    ISSN (online) 2405-4720
    ISSN 2405-4712
    DOI 10.1016/j.cels.2022.08.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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