Work

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

Year: 2023

Type: article

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

Source: Physical Chemistry Chemical Physics

DOI: 10.1039/d2cp05644e

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

Institutions: Universidade Federal de Pernambuco, Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Heidelberg Institute for Theoretical Studies, Centro de Estudos e Sistemas Avançados do Recife

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: Deutscher Akademischer Austauschdienst, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco, Fundação Oswaldo Cruz, Instituto Nacional de Ciência e Tecnologia de Fluidos Complexos

Awards: G2291416950, G2812607828, G486290616, G5398887904

OpenAlex ID: W4318716670

FWCI: 0.713

Cites: 107

Cited by: 9

Related to: 10