Antonio Marinho da Silva Neto

PiPred – a deep-learning method for prediction of π-helices in protein sequences

Krzysztof Szczepaniak, Vikram Alva, Jan Ludwiczak, 2019, Scientific reports.

A superposition free method for protein conformational ensemble analyses and local clustering based on a differential geometry representation of backbone

Antonio Marinho da Silva Neto, M. Vendruscolo, C. Camilloni, 2019, Proteins.

Probing the toxic interactions between the reactive dye Drimaren Red and Human Serum Albumin

Antonio Marinho da Silva Neto, M. Ghislandi, P. Gubert, 2021, bioRxiv.

Analysis of two Schistosoma mansoni uridine phosphorylases isoforms suggests the emergence of a protein with a non-canonical function.

Antonio Marinho da Silva Neto, J. Brandão-Neto, A. Cassago, 2016, Biochimie.

Study of reactive dye/serum albumin interactions: thermodynamic parameters, protein alterations and computational analysis

Antonio Marinho da Silva Neto, M. Ghislandi, P. Gubert, 2022, Chemical Papers.

A model of key residues interactions for HPVs E1 DNA binding domain-DNA interface based on HPVs residues conservation profiles and molecular dynamics simulations

Antonio Marinho da Silva Neto, C. Castelletti, J. L. de Lima Filho, 2020, Journal of biomolecular structure & dynamics.

PiPred – a deep-learning method for prediction of π-helices in protein sequences

Antonio Marinho da Silva Neto, S. Dunin-Horkawicz, J. Ludwiczak, 2019, Scientific Reports.