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Unlock the Power of Life Sciences with Python and Artificial Intelligence.

In the era of the genomic revolution, the ability to process biological data is no longer just a skill for biologists—it is a mandatory toolkit for the modern data scientist and software engineer. Bioinformatics & AI with Python Programming (Volume 13 of the series) provides a comprehensive, hands-on journey from the fundamental strings of DNA to the cutting-edge AI models that are reinventing drug discovery.

This volume bridges the gap between classic bioinformatics and modern Deep Learning. You will start by mastering sequence manipulation and Biopython, then progress to complex structural analysis using AlphaFold and ESMFold outputs. Finally, you will build autonomous AI agents capable of mining PubMed to synthesize novel scientific hypotheses.

What’s Inside:

Genomic Foundations: Manipulate DNA, RNA, and Protein sequences using pure Python and Biopython.
Database Mining: Automate complex queries to NCBI Entrez and handle high-throughput BLAST searches.
Structural Biology: Parse PDB files, calculate molecular geometry, and interpret AlphaFold 2 / ESMFold outputs.
Computer-Aided Drug Discovery: Use RDKit to generate molecular fingerprints and perform virtual screening for new lead compounds.
Biological NLP: Fine-tune Transformer models like DNABERT for genomic classification tasks.
AI Research Agents: Build a RAG (Retrieval-Augmented Generation) system to summarize and analyze scientific papers autonomously.

Every chapter includes theoretical foundations, common pitfalls to avoid, and advanced application scripts designed for real-world pipelines. Whether you are an aspiring bioinformatician or an AI engineer looking to enter the life sciences, this book is your definitive guide to the future of biology.

All the source code is also on GitHub.

Check also the other books in this series

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