Artificial Intelligence in Bioinformatics and Chemoinformatics

Artificial Intelligence in Bioinformatics and Chemoinformatics

Gopalbhai Prajapati, Bhupendra; Patel, Jayvadankumar; Saikia, Surovi; Pathak, Sarvadaman; Pathak, Yashwant

Taylor & Francis Ltd

03/2025

260

Mole

9781032405834

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Bridging Bioinformatics and Chemoinformatics Approaches in Public Databases



An Introduction to Basic and Advanced Chemoinformatics Computational Tools



An Introduction to Basic and Advanced Bioinformatics Computational Tools



Computational Methods in Cancer, Genome Mapping and Stem Cell Research



Using Chemistry to Understand Biology : Graphs Theories, Biological Networks

Machine Learning and Datamining : Uses and Challenges In Bioinformatics

Chemical Biology Based Toolset for Artificial Intelligence Usage In Drug Design

Application of Deep Learning In Chemistry and Biology

Text Mining in Chemistry for Organizing Chemistry Data

CNN Use in Virtual Screening and Their Performance



Machine Learning in Improving Force Fields of Molecular Dynamics

Defining the Role of Chemical and Biological Data and Applying Algorithms thereof

Optimization and Quantification of Uncertainty in Machine Learning
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Artificial intelligence in bioinformatics and chemoinformatics;Machine learning in bioinformatics and chemoinformatics;Bioinformatics and chemoinformatics;Molecular dynamics;Deep learning In chemistry and biology;Data mining in chemistry;QSAR;DNN;Virtual Screening;HTS;Convolutional Layers;RNN;Data Mining;Machine Learning Models;Ml;Deep Learning Techniques;Unsupervised Ml;ADMET Analysis;Cancer Stem Cells;QSPR;SBVS;Smile;Drug Target Interactions;Ml Technique;ADMET Prediction;Structure Prediction;ADMET Profile;Convolutional Filters;DNA Melting;Single Cell RNA Sequencing;Structure Prediction Tools