Turning high-throughput structural biology into predictive inhibitor design

A common challenge in drug design pertains to finding chemical modifications to a ligand that increases its affinity to the target protein. An underutilized advance is the increase in structural biology throughput, which has progressed from an artisanal endeavor to a monthly throughput of hundreds o...

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Main Authors:	Saar, KL, McCorkindale, W, Fearon, D, Boby, M, Barr, H, Ben-Shmuel, A, London, N, von Delft, F, Chodera, JD, Lee, AA, Koekemoer, L, Krojer, T, Fairhead, M, MacLean, EM, Thompson, A, Smilova, MD, Wright, N, von Delft, A, Gileadi, C, Schofield, CJ, Salah, E, Malla, TR, Tumber, A, John, T, Vakonakis, I, Kantsadi, AL, Zitzmann, N, Brun, J, Kiappes, JL, Hill, M, Witt, KD, Alonzi, DS, Makower, LL, Giroud, C, Bennett, J, Fedorov, O, Morris, GM, Ferla, M, Carbery, A, Cattermole, E, Taylor, JC, Brewitz, L
מחברים אחרים:	COVID Moonshot Consortium
פורמט:	Journal article
שפה:	English
יצא לאור:	National Academy of Sciences 2023

Turning high-throughput structural biology into predictive inhibitor design

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