In the context of computational drug design, we examine the effectiveness of the enhanced sampling techniques in state-of-the-art free energy calculations based on alchemical molecular dynamics simulations. In a paradigmatic molecule with competition between conformationally restrained E and Z isomers whose probability ratio is strongly affected by the coupling with the environment, we compare the so-called lambda-hopping technique to the Hamiltonian replica exchange methods assessing their convergence behavior as a function of the enhanced sampling protocols (number of replicas, scaling factors, simulation times). We found that the pure lambda-hopping, commonly used in solvation and binding free energy calculations via alchemical free energy perturbation techniques, is ineffective in enhancing the sampling of the isomeric states, exhibiting a pathological dependence on the initial conditions. Correct sampling can be restored in lambda-hopping simulation by the addition of a "hot-zone" scaling factor to the lambda-stratification (FEP+ approach), provided that the additive hot-zone scaling factors are tuned and optimized using preliminary ordinary replica-exchange simulation of the end-states.
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TandemAI, New York, NY 10036 USA
State Univ New Jersey, Inst Quantitat Biomed, Lab Biomol Simulat Res, Piscataway, NJ 08854 USA
State Univ New Jersey, Dept Chem & Chem Biol, Piscataway, NJ 08854 USATandemAI, New York, NY 10036 USA
Tsai, Hsu-Chun
Xu, James
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
Xu, James
Guo, Zhenyu
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
Guo, Zhenyu
Yi, Yinhui
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
Yi, Yinhui
Tian, Chuan
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
Tian, Chuan
Que, Xinyu
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
Que, Xinyu
Giese, Timothy
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State Univ New Jersey, Inst Quantitat Biomed, Lab Biomol Simulat Res, Piscataway, NJ 08854 USA
State Univ New Jersey, Dept Chem & Chem Biol, Piscataway, NJ 08854 USATandemAI, New York, NY 10036 USA
Giese, Timothy
Lee, Tai-Sung
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State Univ New Jersey, Inst Quantitat Biomed, Lab Biomol Simulat Res, Piscataway, NJ 08854 USA
State Univ New Jersey, Dept Chem & Chem Biol, Piscataway, NJ 08854 USATandemAI, New York, NY 10036 USA
Lee, Tai-Sung
York, Darrin M.
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State Univ New Jersey, Inst Quantitat Biomed, Lab Biomol Simulat Res, Piscataway, NJ 08854 USA
State Univ New Jersey, Dept Chem & Chem Biol, Piscataway, NJ 08854 USATandemAI, New York, NY 10036 USA
York, Darrin M.
Ganguly, Abir
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
Ganguly, Abir
Pan, Albert
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TandemAI, New York, NY 10036 USATandemAI, New York, NY 10036 USA
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Univ Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USAUniv Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
Huang, Yu-ming M.
McCammon, J. Andrew
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Univ Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
Univ Calif San Diego, Dept Chem & Biochem, La Jolla, CA 92093 USAUniv Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
McCammon, J. Andrew
Miao, Yinglong
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Univ Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
Univ Kansas, Ctr Computat Biol, Lawrence, KS 66047 USA
Univ Kansas, Dept Mol Biosci, Lawrence, KS 66047 USAUniv Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA