<scp>DLPacker</scp> : Deep learning for prediction of amino acid side chain conformations in proteins-Reference-Cited by-同舟云学术

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DLPacker : Deep learning for prediction of amino acid side chain conformations in proteins

Published:2022-02-22 Issue:6 Volume:90 Page:1278-1290
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Misiura Mikita¹,Shroff Raghav²,Thyer Ross³,Kolomeisky Anatoly B.¹³⁴

Affiliation:

1. Department of Chemistry, Center for Theoretical Biological Physics Rice University Houston Texas USA

2. CCDC Army Research Lab Austin Texas USA

3. Department of Chemical and Biomolecular Engineering Rice University Houston Texas USA

4. Department of Physics and Astronomy, Center for Theoretical Biological Physics Rice University Houston Texas USA

Funder

National Science Foundation of Sri Lanka

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.26311

Reference60 articles.

1. Improved prediction of protein side-chain conformations with SCWRL4

2. Protein side chain conformation predictions with an MMGBSA energy function

3. Computational reconstruction of atomistic protein structures from coarse-grained models

4. Protein side-chain modeling with a protein-dependent optimized rotamer library

5. Accurate calculation of side chain packing and free energy with applications to protein molecular dynamics

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1. Ligand Identification using Deep Learning;2024-08-28

2. OPUS-Design: Designing Protein Sequence from Backbone Structure with 3DCNN and Protein Language Model;2024-08-21

3. Heterotrimeric collagen helix with high specificity of assembly results in a rapid rate of folding;Nature Chemistry;2024-07-15

4. FlowPacker: Protein side-chain packing with torsional flow matching;2024-07-10

5. Amino-Acid Characteristics in Protein Native State Structures;Biomolecules;2024-07-07

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