Literature DB >> 28665130

Rigidity Strengthening: A Mechanism for Protein-Ligand Binding.

Duc D Nguyen1, Tian Xiao1, Menglun Wang1, Guo-Wei Wei1.   

Abstract

Protein-ligand binding is essential to almost all life processes. The understanding of protein-ligand interactions is fundamentally important to rational drug and protein design. Based on large scale data sets, we show that protein rigidity strengthening or flexibility reduction is a mechanism in protein-ligand binding. Our approach based solely on rigidity is able to unveil a surprisingly apparently long-range contribution of apparently four residue layers to protein-ligand binding, which has ramifications for drug and protein design. Additionally, the present work reveals that among various pairwise interactions, the short-range ones within the distance of the van der Waals diameter are most important. It is found that the present approach outperforms all other state-of-the-art scoring functions for protein-ligand binding affinity predictions of two benchmark test sets.

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Year:  2017        PMID: 28665130     DOI: 10.1021/acs.jcim.7b00226

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  17 in total

1.  Generative network complex (GNC) for drug discovery.

Authors:  Christopher Grow; Kaifu Gao; Duc Duy Nguyen; Guo-Wei Wei
Journal:  Commun Inf Syst       Date:  2019

2.  DG-GL: Differential geometry-based geometric learning of molecular datasets.

Authors:  Duc Duy Nguyen; Guo-Wei Wei
Journal:  Int J Numer Method Biomed Eng       Date:  2019-02-07       Impact factor: 2.747

3.  MathDL: mathematical deep learning for D3R Grand Challenge 4.

Authors:  Duc Duy Nguyen; Kaifu Gao; Menglun Wang; Guo-Wei Wei
Journal:  J Comput Aided Mol Des       Date:  2019-11-16       Impact factor: 3.686

4.  Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges.

Authors:  Duc Duy Nguyen; Zixuan Cang; Kedi Wu; Menglun Wang; Yin Cao; Guo-Wei Wei
Journal:  J Comput Aided Mol Des       Date:  2018-08-16       Impact factor: 3.686

5.  AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening.

Authors:  Duc Duy Nguyen; Guo-Wei Wei
Journal:  J Chem Inf Model       Date:  2019-07-01       Impact factor: 4.956

6.  MLIMC: Machine Learning-Based Implicit-Solvent Monte Carlo.

Authors:  Jiahui Chen; Weihua Geng; Guo-Wei Wei
Journal:  Chi J Chem Phys       Date:  2021-12-27       Impact factor: 1.114

Review 7.  A review of mathematical representations of biomolecular data.

Authors:  Duc Duy Nguyen; Zixuan Cang; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-02-26       Impact factor: 3.676

8.  Are 2D fingerprints still valuable for drug discovery?

Authors:  Kaifu Gao; Duc Duy Nguyen; Vishnu Sresht; Alan M Mathiowetz; Meihua Tu; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-04-29       Impact factor: 3.676

9.  D3R grand challenge 4: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies.

Authors:  Conor D Parks; Zied Gaieb; Michael Chiu; Huanwang Yang; Chenghua Shao; W Patrick Walters; Johanna M Jansen; Georgia McGaughey; Richard A Lewis; Scott D Bembenek; Michael K Ameriks; Tara Mirzadegan; Stephen K Burley; Rommie E Amaro; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2020-01-23       Impact factor: 3.686

10.  AweGNN: Auto-parametrized weighted element-specific graph neural networks for molecules.

Authors:  Timothy Szocinski; Duc Duy Nguyen; Guo-Wei Wei
Journal:  Comput Biol Med       Date:  2021-05-12       Impact factor: 6.698

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