An artificial neural network model to predict structure-based protein–protein free energy of binding from Rosetta-calculated properties

Abstract:
        An artificial neural network protocol to compute protein–protein free energy of binding.

SEEK ID: https://publications.h-its.org/publications/1784

DOI: 10.1039/D2CP05644E

Research Groups: Molecular and Cellular Modeling

Publication type: Journal

Journal: Physical Chemistry Chemical Physics

Citation: Phys. Chem. Chem. Phys. 25(10):7257-7267

Date Published: 8th Mar 2023

Registered Mode: by DOI

Authors: Matheus V. F. Ferraz, José C. S. Neto, Roberto D. Lins, Erico S. Teixeira

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Citation
Ferraz, M. V. F., Neto, J. C. S., Lins, R. D., & Teixeira, E. S. (2023). An artificial neural network model to predict structure-based protein–protein free energy of binding from Rosetta-calculated properties. In Physical Chemistry Chemical Physics (Vol. 25, Issue 10, pp. 7257–7267). Royal Society of Chemistry (RSC). https://doi.org/10.1039/d2cp05644e
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Created: 11th Feb 2024 at 22:19

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