MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction

MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction

<p dir="ltr">Understanding the pathogenicity of missense mutation (MM) is essential for shed light on genetic diseases, gene functions, and individual variations. In this study, we propose a novel computational approach, called MMPatho, for enhancing missense mutation pathogenic pred...

Full description

Saved in:
Bibliographic Details
Main Author: Fang Ge (1533166) (author)
Other Authors: Muhammad Arif (769250) (author), Zihao Yan (5047112) (author), Hanin Alahmadi (17372413) (author), Apilak Worachartcheewan (422620) (author), Dong-Jun Yu (630659) (author), Watshara Shoombuatong (453384) (author)
Published: 2023
Subjects:
Biological sciences
Genetics
Information and computing sciences
Machine learning
Missense Mutation (MM)
Pathogenicity
Computational Approach
MMPatho
Amino Acid-Level Features
Genome-Level Features
Protein Sequences
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items