Jinjin Li>, Yanqiang Han>

Machine Learning in Protein Science

Efficient Prediction of Protein Structures and Properties. 30 schwarz-weiße und 50 farbige Abbildungen. Sprache: Englisch.
gebunden , 320 Seiten
ISBN 3527352155
EAN 9783527352159
Veröffentlicht 5. November 2025
Verlag/Hersteller Wiley-VCH GmbH
139,00 inkl. MwSt.
vorbestellbar (Versand mit Deutscher Post/DHL)
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Beschreibung

This unique practical reference for protein scientist shows how to harness the power of machine learning for quick and efficient full quantum mechanical calculations of protein structures and properties.

Portrait

Jinjin Li is a professor at the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University in Shanghai, China. Having obtained her Ph.D. degrees from Shanghai University, she performed postdoctoral work at the University of Illinois, USA and was a Senior Research Fellow at the University of California, USA. Professor Li has authored over 200 publications and four monographs. She is also a long-standing editorial board member and reviewer for several international academic journals.
Yanqiang Han is an assistant professor at the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University in Shanghai, China. He obtained his Ph.D. degrees from Shanghai University. He has authored over 30 publications in the field of computational biology and machine learning and is a reviewer for several international academic journals.

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