Téléchargez le livre : Machine Learning in Protein Science

Machine Learning in Protein Science

Efficient Prediction of Protein Structures and Properties de

,

Éditeur :

Wiley-VCH


Paru le : 2025-01-07

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Description

Harness the power of machine learning for quick and efficient calculations of protein structures and properties
Machine Learning in Protein Science is a unique and practical reference that shows how to employ machine learning approaches for full quantum mechanical (FQM) calculations of protein structures and properties, thereby saving costly computing time and making this technology available for routine users.
Machine Learning in Protein Science provides comprehensive coverage of topics including: Machine learning models and algorithms, from deep neural network (DNN) and transfer learning (TL) to hybrid unsupervised and supervised learning Protein structure predictions with AlphaFold to predict the effects of point mutations Modeling and optimization of the catalytic activity of enzymes Property calculations (energy, force field, stability, protein-protein interaction, thermostability, molecular dynamics) Protein design and large language models (LLMs) of protein systems
Machine Learning in Protein Science is an essential reference on the subject for biochemists, molecular biologists, theoretical chemists, biotechnologists, and medicinal chemists, as well as students in related programs of study.
Pages
240 pages
Collection
n.c
Parution
2025-01-07
Marque
Wiley-VCH
EAN papier
9783527352159
EAN PDF
9783527842360
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
7444 Ko
Prix
137,15 €
EAN EPUB
9783527842353
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
16333 Ko
Prix
137,15 €

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