In Print: ‘Protein Function Prediction: Methods and Protocols’

In Print graphic featuring Daisuke Kihara

Daisuke Kihara, professor of biological sciences and computer science, and his published book “Protein Function Prediction: Methods and Protocols.”

Publication title

Protein Function Prediction: Methods and Protocols

Purdue author

Daisuke Kihara

Authors

Daisuke Kihara

Lukasz Kurgan

Publisher

Humana

Publication date

July 2025

About the book (from the publisher)

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational techniques, such as machine learning, multitask learning, protein language models and deep learning, the book continues by covering specific tools for protein function prediction, ranging from gene ontology-term predictions to the predictions of binding sites, protein localization and solubility, signal peptides, intrinsic disorder, and intrinsically disordered binding regions, as well as presenting databases that address protein moonlighting and protein binding. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, step-by-step instructions on how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and up-to-date, “Protein Function Prediction: Methods and Protocols” (Second Edition) helps readers to understand and appreciate this vibrant and growing research area and guides in the quest to identify and use the best computational methods and resources for their projects.

About the Purdue author

Daisuke Kihara is a professor of biological sciences and computer science and associate head for research and graduate education in the Department of Biological Sciences. His main research focus is protein bioinformatics, developing computational methods to predict and analyze protein structure and function, biomolecular structure modeling for cryo-electron microscopy, pathway structure and their applications in genome-scale or pathway/network scale. Kihara also co-founded Molecular Intelligence, a software company whose solutions help researchers determine the 3D structures of biomolecules imaged with cryogenic-electron microscopy.

About the In Print series

To celebrate our faculty’s excellence in scholarship, Purdue Today’s weekly book series highlights faculty expertise across diverse subjects and disciplines. Find out more about the Purdue University Books Initiative and how to suggest a book for the In Print series on the Office of the Provost website.

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