Literature DB >> 25005281

Principal component analysis of molecular dynamics: on the use of Cartesian vs. internal coordinates.

Florian Sittel1, Abhinav Jain1, Gerhard Stock1.   

Abstract

Principal component analysis of molecular dynamics simulations is a popular method to account for the essential dynamics of the system on a low-dimensional free energy landscape. Using Cartesian coordinates, first the translation and overall rotation need to be removed from the trajectory. Since the rotation depends via the moment of inertia on the molecule's structure, this separation is only straightforward for relatively rigid systems. Adopting millisecond molecular dynamics simulations of the folding of villin headpiece and the functional dynamics of BPTI provided by D. E. Shaw Research, it is demonstrated via a comparison of local and global rotational fitting that the structural dynamics of flexible molecules necessarily results in a mixing of overall and internal motion. Even for the small-amplitude functional motion of BPTI, the conformational distribution obtained from a Cartesian principal component analysis therefore reflects to some extend the dominant overall motion rather than the much smaller internal motion of the protein. Internal coordinates such as backbone dihedral angles, on the other hand, are found to yield correct and well-resolved energy landscapes for both examples. The virtues and shortcomings of the choice of various fitting schemes and coordinate sets as well as the generality of these results are discussed in some detail.

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Year:  2014        PMID: 25005281     DOI: 10.1063/1.4885338

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  27 in total

1.  Some studies on generalized coordinate sets for polyatomic molecules.

Authors:  Wenjin Li; Ao Ma
Journal:  J Chem Phys       Date:  2015-12-14       Impact factor: 3.488

2.  D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU.

Authors:  Diogo Santos-Martins; Jerome Eberhardt; Giulia Bianco; Leonardo Solis-Vasquez; Francesca Alessandra Ambrosio; Andreas Koch; Stefano Forli
Journal:  J Comput Aided Mol Des       Date:  2019-11-06       Impact factor: 3.686

3.  Time-resolved observation of protein allosteric communication.

Authors:  Sebastian Buchenberg; Florian Sittel; Gerhard Stock
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-31       Impact factor: 11.205

4.  Uncovering Large-Scale Conformational Change in Molecular Dynamics without Prior Knowledge.

Authors:  Ryan L Melvin; Ryan C Godwin; Jiajie Xiao; William G Thompson; Kenneth S Berenhaut; Freddie R Salsbury
Journal:  J Chem Theory Comput       Date:  2016-11-10       Impact factor: 6.006

5.  Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations.

Authors:  Bruck Taddese; Antoine Garnier; Hervé Abdi; Daniel Henrion; Marie Chabbert
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

6.  Designing Well-Structured Cyclic Pentapeptides Based on Sequence-Structure Relationships.

Authors:  Diana P Slough; Sean M McHugh; Ashleigh E Cummings; Peng Dai; Bradley L Pentelute; Joshua A Kritzer; Yu-Shan Lin
Journal:  J Phys Chem B       Date:  2018-03-28       Impact factor: 2.991

7.  β-Branched Amino Acids Stabilize Specific Conformations of Cyclic Hexapeptides.

Authors:  Ashleigh E Cummings; Jiayuan Miao; Diana P Slough; Sean M McHugh; Joshua A Kritzer; Yu-Shan Lin
Journal:  Biophys J       Date:  2019-01-03       Impact factor: 4.033

Review 8.  Elucidating Solution Structures of Cyclic Peptides Using Molecular Dynamics Simulations.

Authors:  Jovan Damjanovic; Jiayuan Miao; He Huang; Yu-Shan Lin
Journal:  Chem Rev       Date:  2021-01-11       Impact factor: 60.622

9.  Molecular Mechanism of Small-Molecule Inhibitors in Blocking the PD-1/PD-L1 Pathway through PD-L1 Dimerization.

Authors:  Yan Guo; Yulong Jin; Bingfeng Wang; Boping Liu
Journal:  Int J Mol Sci       Date:  2021-04-30       Impact factor: 5.923

10.  Characterizing the 3D structure and dynamics of chromosomes and proteins in a common contact matrix framework.

Authors:  Richard J Lindsay; Bill Pham; Tongye Shen; Rachel Patton McCord
Journal:  Nucleic Acids Res       Date:  2018-09-19       Impact factor: 16.971

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