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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning in Protein Science: Efficient Prediction of Protein Structures and Properties

Machine Learning in Protein Science: Efficient Prediction of Protein Structures and Properties

Li, Jinjin
Han, Yanqiang

Hardcover

Medical ReferenceBiologyChemistry

ISBN10: 3527352155
ISBN13: 9783527352159
Publisher: Wiley-Vch
Published: May 11 2026
Pages: 240
Weight: 1.29
Height: 0.56 Width: 6.69 Depth: 9.61
Language: English
Aimed at researchers in the molecular life sciences, this unique reference summarizes current approaches for harnessing the power of machine learning for more efficient full quantum mechanical (FQM) calculations in protein systems. Application examples range from property calculations (energy, force field, stability, protein-protein interaction, thermostability, molecular dynamics) to protein structure prediction to protein design and the optimization of enzymatic activity.

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