Overview

Computational Intelligence in Protein-Ligand Interaction Analysis

Full Product Details

Author:   Bing Wang (Dean, School of Electrical and Electronics Information, Anhui University of Technology, China) ,  Peng Chen (Professor, Institute of Physical Science and Information Technology, School of the Internet, Anhui University, China) ,  Jun Zhang (Professor, Anhui University, China)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780128243862

ISBN 10:   0128243864
Pages:   278
Publication Date:   26 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Computational intelligence methods in protein-ligand interactions 2. Random forest method for predicting protein ligand-binding residues 3. Encoders of protein residues for identifying protein-protein interacting residues 4. Identification of hot spot residues in protein interfaces from protein sequences and ensemble methods 5. Semi-supervised prediction of protein interaction sites from unlabeled sample information 6. Developing computational model to predict protein-protein interaction sites based on XGBoost algorithm 7. Evolutional algorithms and their applications in protein long-range contact prediction 8. A novel robust geometric approach for modelling protein-protein interaction networks 9. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis 10. Ensemble learning-based prediction on drug-target interactions 11. Convolutional neural networks for drug-target interaction prediction 12. Ensemble learning methods for drug-induced liver injury identification 13. Database construction for mutant protein interactions 14. A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy

Reviews

Author Information

Bing Wang is Dean in the School of Electrical & Electronics Information at Anhui University of Technology, in China. He received his PhD in bioinformatics from the University of Technology, China, on protein-protein interaction site prediction. He has held postdoctoral positions in machine learning, chemoinformatics, and biomedical information engineering at the Universities of Louisville and Vanderbilt, in the USA. He has published over 120 papers, is a senior member of IEEE, and serves on the editorial board of several journals. Peng Chen is a Professor in the Institute of Physical Science and Information Technology, and the School of the Internet, at Anhui University, China. He received his PhD from the University of Science and Technology of China (USTC). He has held international roles in Hong Kong, the USA, and Saudi Arabia. He was previously Associate Professor at the Hefei Institute of Intelligent Machines, with the Chinese Academy of Sciences. His research interests include machine learning, and data mining, and he has published over 100 papers. Jun Zhang is a Professor at Anhui University, China, and is an expert in the field of computational intelligence.

Tab Content 6

Author Website:  

Countries Available

All regions