Carlos H. M. Rodrigues

According to our database, Carlos H. M. Rodrigues authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

piscesCSM: prediction of anticancer synergistic drug combinations.

Raghad Al-Jarf, Carlos H. M. Rodrigues, Yoochan Myung, Douglas E. V. Pires, David B. Ascher

J. Cheminformatics, December, 2024

2023

DDMut: predicting effects of mutations on protein stability using deep learning.

Yunzhuo Zhou, Qisheng Pan, Douglas E. V. Pires, Carlos H. M. Rodrigues, David B. Ascher

Nucleic Acids Res., July, 2023

DockNet: high-throughput protein-protein interface contact prediction.

Nathan P. Williams, Carlos H. M. Rodrigues, Jia Truong, David B. Ascher, Jessica K. Holien

Bioinform., January, 2023

2022

CSM-Potential: mapping protein interactions and biological ligands in 3D space using geometric deep learning.

Carlos H. M. Rodrigues, David B. Ascher

Nucleic Acids Res., 2022

Structural landscapes of PPI interfaces.

Carlos H. M. Rodrigues, Douglas E. V. Pires, Tom L. Blundell, David B. Ascher

Briefings Bioinform., 2022

2021

MTR3D: identifying regions within protein tertiary structures under purifying selection.

Michael Silk, Douglas E. V. Pires, Carlos H. M. Rodrigues, Elston N. D'souza, Moshe Olshansky, Natalie Thorne, David B. Ascher

Nucleic Acids Res., 2021

mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions.

Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2021

pdCSM-PPI: Using Graph-Based Signatures to Identify Protein-Protein Interaction Inhibitors.

Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher

J. Chem. Inf. Model., 2021

Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis.

Edward Airey, Stephanie Portelli, Joicymara S. Xavier, Yoochan Myung, Michael Silk, Malancha Karmakar, João P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, Pâmela M. Rezende, Douglas E. V. Pires, David B. Ascher

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

mCSM-membrane: predicting the effects of mutations on transmembrane proteins.

Douglas E. V. Pires, Carlos H. M. Rodrigues, David B. Ascher

Nucleic Acids Res., 2020

EasyVS: a user-friendly web-based tool for molecule library selection and structure-based virtual screening.

Douglas E. V. Pires, Wandré N. P. Veloso, Yoochan Myung, Carlos H. M. Rodrigues, Michael Silk, Pâmela M. Rezende, Francislon Silva, Joicymara S. Xavier, João P. L. Velloso, Carlos Henrique da Silveira, David B. Ascher

Bioinform., 2020

mCSM-AB2: guiding rational antibody design using graph-based signatures.

Yoochan Myung, Carlos H. M. Rodrigues, David B. Ascher, Douglas E. V. Pires

Bioinform., 2020

2019

mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

Carlos H. M. Rodrigues, Yoochan Myung, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2019

2018

DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability.

Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2018

Kinact: a computational approach for predicting activating missense mutations in protein kinases.

Carlos H. M. Rodrigues, David B. Ascher, Douglas E. V. Pires

Nucleic Acids Res., 2018