Helder Veras Ribeiro Filho

Brazilian Center for Research in Energy and Materials

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Exploring the potential of structure-based deep learning approaches for T cell receptor design”.

Exploring the potential of structure-based deep learning approaches for T cell receptor design

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012489

N/A

0.269DataRank · unranked

5 citations

Gabriel Ernesto Jara, João Victor da Silva Guerra, Melyssa Cheung, Nathaniel Felbinger, José Geraldo de Carvalho Pereira +3 more

TCRmodel2: high-resolution modeling of T cell receptor recognition using deep learning

Nucleic Acids Research(2023)10.1093/nar/gkad356

N/A

0DataRank · unranked

107 citations

Helder Veras Ribeiro Filho, Valerie C. L. Lin, Ragul Gowthaman, Melyssa Cheung, Brian G. Pierce +1 more

Proscan: a structure-based proline design web server

Nucleic Acids Research(2024)10.1093/nar/gkae408

N/A

0DataRank · unranked

6 citations

Helder Veras Ribeiro Filho, Brian G. Pierce, Nathaniel Felbinger