Nese Kurt Yilmaz to Drug Design
This is a "connection" page, showing publications Nese Kurt Yilmaz has written about Drug Design.
Connection Strength
1.265
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Kurt Yilmaz N, Swanstrom R, Schiffer CA. Improving Viral Protease Inhibitors to Counter Drug Resistance. Trends Microbiol. 2016 07; 24(7):547-557.
Score: 0.480
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Nalam MN, Ali A, Reddy GS, Cao H, Anjum SG, Altman MD, Yilmaz NK, Tidor B, Rana TM, Schiffer CA. Substrate envelope-designed potent HIV-1 protease inhibitors to avoid drug resistance. Chem Biol. 2013 Sep 19; 20(9):1116-24.
Score: 0.200
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Zephyr J, Nageswara Rao D, Vo SV, Henes M, Kosovrasti K, Matthew AN, Hedger AK, Timm J, Chan ET, Ali A, Kurt Yilmaz N, Schiffer CA. Deciphering the Molecular Mechanism of HCV Protease Inhibitor Fluorination as a General Approach to Avoid Drug Resistance. J Mol Biol. 2022 05 15; 434(9):167503.
Score: 0.180
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Matthew AN, Zephyr J, Nageswara Rao D, Henes M, Kamran W, Kosovrasti K, Hedger AK, Lockbaum GJ, Timm J, Ali A, Kurt Yilmaz N, Schiffer CA. Avoiding Drug Resistance by Substrate Envelope-Guided Design: Toward Potent and Robust HCV NS3/4A Protease Inhibitors. mBio. 2020 03 31; 11(2).
Score: 0.158
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Paulsen JL, Leidner F, Ragland DA, Kurt Yilmaz N, Schiffer CA. Interdependence of Inhibitor Recognition in HIV-1 Protease. J Chem Theory Comput. 2017 May 09; 13(5):2300-2309.
Score: 0.128
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Matthew AN, Leidner F, Lockbaum GJ, Henes M, Zephyr J, Hou S, Rao DN, Timm J, Rusere LN, Ragland DA, Paulsen JL, Prachanronarong K, Soumana DI, Nalivaika EA, Kurt Yilmaz N, Ali A, Schiffer CA. Drug Design Strategies to Avoid Resistance in Direct-Acting Antivirals and Beyond. Chem Rev. 2021 03 24; 121(6):3238-3270.
Score: 0.042
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Rusere LN, Lockbaum GJ, Henes M, Lee SK, Spielvogel E, Rao DN, Kosovrasti K, Nalivaika EA, Swanstrom R, Kurt Yilmaz N, Schiffer CA, Ali A. Structural Analysis of Potent Hybrid HIV-1 Protease Inhibitors Containing Bis-tetrahydrofuran in a Pseudosymmetric Dipeptide Isostere. J Med Chem. 2020 08 13; 63(15):8296-8313.
Score: 0.040
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Leidner F, Kurt Yilmaz N, Schiffer CA. Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints. J Chem Inf Model. 2019 09 23; 59(9):3679-3691.
Score: 0.038