Tom Sercu

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: “Evolutionary-scale prediction of atomic-level protein structure with a language model”.

Evolutionary-scale prediction of atomic-level protein structure with a language model

Science(2023)10.1126/science.ade2574

N/A

1.3DataRank · unranked

4605 citations

Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu +10 more

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Proceedings of the National Academy of Sciences(2021)10.1073/pnas.2016239118

N/A

1.2DataRank · unranked

2999 citations

Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu +6 more

Transformer protein language models are unsupervised structure learners

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.15.422761

N/A

0.883DataRank · unranked

359 citations

Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives, Roshan Rao

Language models generalize beyond natural proteins

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.21.521521

N/A

0DataRank · unranked

202 citations

Ori Kabeli, Yilun Du, Basile I. M. Wicky, Lukas F. Milles, Justas Dauparas +5 more