Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles

Using a diverse collection of small molecules generated from a variety of sources, we measured protein-binding activities of each individual compound against each of 100 diverse (sequence-unrelated) proteins using small-molecule microarrays. We also analyzed structural features, including complexity...

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Main Authors: Clemons, P. A., Bodycombe, N. E., Carrinski, H. A., Wilson, J. A., Wagner, B. K., Schreiber, S. L., Shamji, Alykhan, Koehler, Angela Nicole
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Published: Proceedings of the National Academy of Sciences 2018
Online Access:http://hdl.handle.net/1721.1/116671
https://orcid.org/0000-0002-3772-8156
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author Clemons, P. A.
Bodycombe, N. E.
Carrinski, H. A.
Wilson, J. A.
Wagner, B. K.
Schreiber, S. L.
Shamji, Alykhan
Koehler, Angela Nicole
author2 Harvard University--MIT Division of Health Sciences and Technology
author_facet Harvard University--MIT Division of Health Sciences and Technology
Clemons, P. A.
Bodycombe, N. E.
Carrinski, H. A.
Wilson, J. A.
Wagner, B. K.
Schreiber, S. L.
Shamji, Alykhan
Koehler, Angela Nicole
author_sort Clemons, P. A.
collection MIT
description Using a diverse collection of small molecules generated from a variety of sources, we measured protein-binding activities of each individual compound against each of 100 diverse (sequence-unrelated) proteins using small-molecule microarrays. We also analyzed structural features, including complexity, of the small molecules. Wefound that compounds from different sources (commercial, academic, natural) have different protein-binding behaviors and that these behaviors correlate with general trends in stereochemical and shape descriptors for these compound collections. Increasing the content of sp 3 - hybridized and stereogenic atoms relative to compounds from commercial sources, which comprise the majority of current screening collections, improved binding selectivity and frequency. The results suggest structural features that synthetic chemists can target when synthesizing screening collections for biological discovery. Because binding proteins selectively can be a key feature of high-value probes and drugs, synthesizing compounds having features identified in this study may result in improved performance of screening collections.
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spelling mit-1721.1/1166712022-09-27T23:40:03Z Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles Clemons, P. A. Bodycombe, N. E. Carrinski, H. A. Wilson, J. A. Wagner, B. K. Schreiber, S. L. Shamji, Alykhan Koehler, Angela Nicole Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Biological Engineering Shamji, Alykhan Koehler, Angela Nicole Using a diverse collection of small molecules generated from a variety of sources, we measured protein-binding activities of each individual compound against each of 100 diverse (sequence-unrelated) proteins using small-molecule microarrays. We also analyzed structural features, including complexity, of the small molecules. Wefound that compounds from different sources (commercial, academic, natural) have different protein-binding behaviors and that these behaviors correlate with general trends in stereochemical and shape descriptors for these compound collections. Increasing the content of sp 3 - hybridized and stereogenic atoms relative to compounds from commercial sources, which comprise the majority of current screening collections, improved binding selectivity and frequency. The results suggest structural features that synthetic chemists can target when synthesizing screening collections for biological discovery. Because binding proteins selectively can be a key feature of high-value probes and drugs, synthesizing compounds having features identified in this study may result in improved performance of screening collections. National Institute of General Medical Sciences (U.S.) (P50-GM069721) National Institutes of Health (U.S.) (P20-HG003895) National Cancer Institute (U.S.) (N01-CO-12400) 2018-06-27T19:46:32Z 2018-06-27T19:46:32Z 2010-11 2010-08 2018-06-18T19:05:50Z Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 http://hdl.handle.net/1721.1/116671 Clemons, P. A., et al. “Small Molecules of Different Origins Have Distinct Distributions of Structural Complexity That Correlate with Protein-Binding Profiles.” Proceedings of the National Academy of Sciences, vol. 107, no. 44, Nov. 2010, pp. 18787–92. © 2018 National Academy of Sciences https://orcid.org/0000-0002-3772-8156 http://dx.doi.org/10.1073/pnas.1012741107 Proceedings of the National Academy of Sciences Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Proceedings of the National Academy of Sciences PNAS
spellingShingle Clemons, P. A.
Bodycombe, N. E.
Carrinski, H. A.
Wilson, J. A.
Wagner, B. K.
Schreiber, S. L.
Shamji, Alykhan
Koehler, Angela Nicole
Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles
title Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles
title_full Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles
title_fullStr Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles
title_full_unstemmed Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles
title_short Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles
title_sort small molecules of different origins have distinct distributions of structural complexity that correlate with protein binding profiles
url http://hdl.handle.net/1721.1/116671
https://orcid.org/0000-0002-3772-8156
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