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相关论文: Alchemical Grid Dock (AlGDock): Binding Free Energ…

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We present a new method that combines alchemical transformation with physical pathway to accurately and efficiently compute the absolute binding free energy of receptor-ligand complex. Currently, the double decoupling method (DDM) and the…

生物大分子 · 定量生物学 2018-08-29 Nanjie Deng , Lauren Wickstrom , Emilio Gallicchio

According to implicit ligand theory, the standard binding free energy is an exponential average of the binding potential of mean force (BPMF), an exponential average of the interaction energy between the ligand apo ensemble and a rigid…

生物大分子 · 定量生物学 2019-08-07 Trung Hai Nguyen , Huan-Xiang Zhou , David D. L. Minh

We present an extension of Alchemical Transfer Method (ATM) for the estimation of relative binding free energies of molecular complexes applicable to conventional as well as scaffold-hopping alchemical transformations. The method, named…

化学物理 · 物理学 2021-07-13 Solmaz Azimi , Sheenam Khuttan , Joe Z. Wu , Rajat K. Pal , Emilio Gallicchio

A rigorous formalism for estimating noncovalent binding free energies and thermodynamic expectations from calculations in which receptor configurations are sampled independently from the ligand is derived. Due to this separation, receptor…

统计力学 · 物理学 2015-03-20 David D. L. Minh

Alchemical binding free energy (BFE) calculations offer an efficient and thermodynamically rigorous approach to in silico binding affinity predictions. As a result of decades of methodological improvements and recent advances in computer…

统计力学 · 物理学 2021-07-13 Pengfei Li , Zhijie Li , Yu Wang , Huaixia Dou , Brian K. Radak , Woody Sherman , Huafeng Xu

The theory of receptor-ligand binding equilibria has long been well-established in biochemistry, and was primarily constructed to describe dilute aqueous solutions. Accordingly, few computational approaches have been developed for making…

定量方法 · 定量生物学 2018-10-02 Reza Salari , Thomas Joseph , Ruchi Lohia , Jerome Henin , Grace Brannigan

Ab initio molecular dynamics (AIMD) simulations employing density functional theory (DFT) and plane waves are routinely carried out using density functionals at the level of Generalized Gradient Approximation (GGA). AIMD simulations…

化学物理 · 物理学 2020-03-04 Sagarmoy Mandal , Nisanth N. Nair

We present a simulation scheme to calculate defect formation free energies at a molecular crystal/water interface based on force-field molecular dynamics (MD) simulations. To this end we adopt and modify existing approaches to calculate…

材料科学 · 物理学 2015-06-22 Julian Schneider , Chen Zheng , Karsten Reuter

Powerful generative AI models of protein-ligand structure have recently been proposed, but few of these methods support both flexible protein-ligand docking and affinity estimation. Of those that do, none can directly model multiple binding…

机器学习 · 计算机科学 2025-03-25 Alex Morehead , Jianlin Cheng

We present receptor hopping and receptor swapping free energy estimation protocols based on the Alchemical Transfer Method (ATM) to model the binding selectivity of a set of ligands to two arbitrary receptors. The receptor hopping protocol,…

化学物理 · 物理学 2024-08-28 Solmaz Azimi , Emilio Gallicchio

The Alchemical Transfer Method (ATM) for the calculation of standard binding free energies of non-covalent molecular complexes is presented. The method is based on a coordinate displacement perturbation of the ligand between the receptor…

化学物理 · 物理学 2021-01-21 Joe Z. Wu , Solmaz Azimi , Sheenam Khuttan , Nanjie Deng , Emilio Gallicchio

Alchemical free energy calculations are a useful tool for predicting free energy differences associated with the transfer of molecules from one environment to another. The hallmark of these methods is the use of "bridging" potential energy…

Molecular docking, a key technique in structure-based drug design, plays pivotal roles in protein-ligand interaction modeling, hit identification and optimization, in which accurate prediction of protein-ligand binding mode is essential.…

生物大分子 · 定量生物学 2023-12-20 Jintao Zhu , Zhonghui Gu , Jianfeng Pei , Luhua Lai

The Alchemical Transfer Method (ATM) is herein validated against the relative binding free energies of a diverse set of protein-ligand complexes. We employed a streamlined setup workflow, a bespoke force field, and the AToM-OpenMM software…

化学物理 · 物理学 2023-08-21 Lieyang Chen , Yujie Wu , Chuanjie Wu , Ana Silveira , Woody Sherman , Huafeng Xu , Emilio Gallicchio

We report the results of our participation in the SAMPL8 GDCC Blind Challenge for host-guest binding affinity predictions. Absolute binding affinity prediction is of central importance to the biophysics of molecular association and…

化学物理 · 物理学 2022-02-09 Solmaz Azimi , Joe Z. Wu , Sheenam Khuttan , Tom Kurtzman , Nanjie Deng , Emilio Gallicchio

We present an ab initio approach for evaluating a free energy profile along a reaction coordinate by combining logarithmic mean force dynamics (LogMFD) and first-principles molecular dynamics. The mean force, which is the derivative of the…

化学物理 · 物理学 2014-05-29 Makoto Nakamura , Masao Obata , Tetsuya Morishita , Tatsuki Oda

We present an Adaptively Biased Molecular Dynamics (ABMD) method for the computation of the free energy surface of a reaction coordinate using non-equilibrium dynamics. The ABMD method belongs to the general category of umbrella sampling…

材料科学 · 物理学 2008-04-16 Volodymyr Babin , Christopher Roland , Celeste Sagui

The massively parallel computation of absolute binding free energy with a well-equilibrated system (MP-CAFEE) has been developed [H. Fujitani, Y. Tanida, M. Ito, G. Jayachandran, C. D. Snow, M. R. Shirts, E. J. Sorin, and V. S. Pande, J.…

软凝聚态物质 · 物理学 2009-11-13 Yoshiaki Tanida , Masakatsu Ito , Hideaki Fujitani

Absolute Binding Free Energy (ABFE) methods are among the most accurate computational techniques for predicting protein-ligand binding affinities, but their utility is limited by the need for many simulations of alchemically modified…

定量方法 · 定量生物学 2026-03-18 Michael Brocidiacono , Brandon Novy , Rishabh Dey , Konstantin I. Popov , Alexander Tropsha

The study of rigid protein-protein docking plays an essential role in a variety of tasks such as drug design and protein engineering. Recently, several learning-based methods have been proposed for the task, exhibiting much faster docking…

机器学习 · 计算机科学 2024-01-18 Ziyang Yu , Wenbing Huang , Yang Liu
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