Saturday, April 26, 2025

BIOINFORMATICS BOOKS

Top Bioinformatics Books to Read in 2023!

Bioinformatics has evolved over time from developing a few databases to creating complex algorithms and software models that can be used to solve complicated biological problems. To keep up with this fast-paced field of study, it has become necessary to read books providing in-depth knowledge about different aspects of bioinformatics. Here are some highly recommended bioinformatics books for people who want to explore this area further:

 

Computational Structural Biology and Drug Discovery

Bioinformatics

Proteomics

Statistics in Bioinformatics

R & Bioconductor

Python

Perl

AI & Machine Learning

Next Generation Sequencing Data Analysis

Others

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Must Read

Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design

Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design

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In a recent breakthrough in AI-driven drug discovery, researchers from Pfizer, AstraZeneca, and Chalmers University unveiled a new generative framework called FLOWR, designed to...
Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

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G protein-coupled receptors (GPCRs) are essential membrane proteins with dynamic conformations that are also major targets for drug development and discovery. However, designing protein...
Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

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Hundreds of scientists come together through collaborative efforts to accomplish a shared goal during scientific discovery processes. Current workflows generate research independently, yet they...
MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

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Recent years have witnessed significant advancements in the fields of artificial intelligence (AI) and machine learning (ML), catalyzing a revolution in cheminformatics and drug...
Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

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There are more than 100 NMR relaxation datasets in the Biological Magnetic Resonance Data Bank (BMRB), which show an observable motion in µs-ms. NMR...