Identifying the Binding Residues between Disease-Associated Proteins and Metal-Ion Ligands Based on Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Identifying the Binding Residues between Disease-Associated Proteins and Metal-Ion Ligands Based on Machine Learning Algorithm

Published:2022 Issue:03 Volume:12 Page:23-31
ISSN:2164-5426
Container-title:Hans Journal of Computational Biology
language:
Short-container-title:HJCB

Author:

邹向辉

Publisher

Hans Publishers

Subject

Ocean Engineering

Reference16 articles.

1. 张晓瑾. 基于GBM算法识别蛋白质中金属离子配体的结合残基[D]: [硕士学位论文]. 呼和浩特: 内蒙古工业大学, 2019.

2. Predicting Metal-binding Site Residues in Low-resolution Structural Models

3. Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach

4. Identification of Ca2+-binding residues of a protein from its primary sequence

5. Identification of metal ion binding sites based on amino acid sequences

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