Research progress of reduced amino acid alphabets in protein analysis and prediction-Reference-Cited by-同舟云学术

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Research progress of reduced amino acid alphabets in protein analysis and prediction

Published:2022 Issue: Volume:20 Page:3503-3510
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Liang Yuchao,Yang Siqi,Zheng Lei,Wang Hao,Zhou Jian,Huang Shenghui,Yang Lei,Zuo Yongchun

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference93 articles.

1. High-throughput proteomics;Zhang;Annu Rev Anal Chem (Palo Alto Calif),2014

2. Proteomics: technologies and their applications;Aslam;J Chromatogr Sci,2017

3. Investigation of machine learning techniques on proteomics: A comprehensive survey;Sonsare;Prog Biophys Mol Biol,2019

4. Deep learning in proteomics;Wen;Proteomics,2020

5. A new feature selection algorithm based on relevance, redundancy and complementarity;Li;Comput Biol Med,2020

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1. Construction of amino acids reduced alphabets from molecular descriptors for interpretation of N-carbamylase, luciferase and PI3K mutations;BioSystems;2024-12

2. Review and new insights into the catalytic structural domains of the Fe(ll) and 2-Oxoglutarate families;International Journal of Biological Macromolecules;2024-10

3. Disease trend analysis platform accurately predicts the occurrence of cervical cancer under mixed diseases;Methods;2024-10

4. Uncovering differential tolerance to deletions versus substitutions with a protein language model;2024-07-02

5. Designing a structure-function alphabet of helix based on reduced amino acid clusters;Archives of Biochemistry and Biophysics;2024-04

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