Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification-Reference-Cited by-同舟云学术

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Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification

Published:2023-03 Issue:3 Volume:26 Page:106122
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Tam Benjamin^ORCID,Qin Zixin,Zhao Bojin,Wang San Ming,Lei Chon Lok^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference70 articles.

1. Evolution and functional impact of rare coding variation from deep sequencing of human exomes;Tennessen;Science,2012

2. ClinVar at five years: delivering on the promise;Landrum;Hum. Mutat.,2018

3. ClinVar Database. https://www.ncbi.nlm.nih.gov/clinvar/.

4. Structure–function–rescue: the diverse nature of common p53 cancer mutants;Joerger;Oncogene,2007

5. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology;Richards;Genet. Med.,2015

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2. Deciphering the interactions between altertoxins and glutenin based on molecular dynamic simulation: inspiration from detection;Journal of the Science of Food and Agriculture;2024-07-05

3. Virtual Screening Technique to Identify Inhibitors of Mycobacterium tuberculosis Rv3032 Protein Involved in MGLP Biosynthesis;Russian Journal of Bioorganic Chemistry;2024-06

4. Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method;International Journal of Molecular Sciences;2024-01-10

5. Classification of PTEN missense VUS through exascale simulations;Briefings in Bioinformatics;2023-09-22

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