Sidney Lisanza

Biochemistry, Genetics and Molecular BiologyComputer Science

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 4 papers. Top paper: “Scaffolding protein functional sites using deep learning”.

Scaffolding protein functional sites using deep learning

Science(2022)10.1126/science.abn2100

N/A

0.926DataRank · unranked

478 citations

Sidney Lisanza, David Juergens, Doug Tischer, Joseph L. Watson, Karla M. Castro +19 more

Design of proteins presenting discontinuous functional sites using deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.29.402743

N/A

0.553DataRank · unranked

39 citations

Sidney Lisanza, Jue Wang, Runze Dong, Ivan Anishchenko, Lukas F. Milles +3 more

Lab-in-the-loop therapeutic antibody design with deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.19.639050

N/A

0.483DataRank · unranked

24 citations

Isidro Hötzel, Samuel D. Stanton, Ryan L. Kelly, Robert G. Alberstein, Emily K. Makowski +68 more

Deep learning methods for designing proteins scaffolding functional sites

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.10.468128

N/A

0DataRank · unranked

36 citations

Sidney Lisanza, David Juergens, Doug Tischer, Ivan Anishchenko, Minkyung Baek +10 more