Shrishti Barethiya

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: “Machine Learning Generation of Dynamic Protein Conformational Ensembles”.

Machine Learning Generation of Dynamic Protein Conformational Ensembles

Molecules(2023)10.3390/molecules28104047

N/A

0DataRank · unranked

33 citations

Shrishti Barethiya, Erik B. Nordquist, Jianhan Chen, Lie Zheng

Incorporating physics to overcome data scarcity in predictive modeling of protein function: A case study of BK channels

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011460

N/A

0DataRank · unranked

7 citations

Guohui Zhang, Shrishti Barethiya, Nathan Ji, Kelli White, Lu Han +5 more

Incorporating physics to overcome data scarcity in predictive modeling of protein function: a case study of BK channels

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.24.546384

N/A

0DataRank · unranked

2 citations

Guohui Zhang, Shrishti Barethiya, Nathan Ji, Kelli White, Lu Han +5 more

Overcoming Extrapolation Challenges of Deep Learning by Incorporating Physics in Protein Sequence-Function Modeling

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.09.687530

N/A

0DataRank · unranked

0 citations

Jian Huang, Xiao Liu, Hui Guan, Jianhan Chen, Shrishti Barethiya