Turning high-throughput structural biology into predictive inhibitor design

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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Bibliographische Detailangaben
Hauptverfasser: 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
Weitere Verfasser: COVID Moonshot Consortium
Format: Journal article
Sprache:English
Veröffentlicht: National Academy of Sciences 2023

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