Suemin Lee

Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer ScienceEngineeringChemistry

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 6 papers. Top paper: “Calculating Protein–Ligand Residence Times through State Predictive Information Bottleneck Based Enhanced Sampling”.

Calculating Protein–Ligand Residence Times through State Predictive Information Bottleneck Based Enhanced Sampling

Journal of Chemical Theory and Computation(2024)10.1021/acs.jctc.4c00503

N/A

0.483DataRank · unranked

24 citations

Dedi Wang, Markus A. Seeliger, Pratyush Tiwary, Suemin Lee

Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena

arXiv (Cornell University)(2024)10.48550/arxiv.2409.03118

N/A

0.269DataRank · unranked

5 citations

Lukas Herron, Richard S. John, Suemin Lee, Disha Sanwal, Ruiyu Wang +1 more

Modeling selectivity of antimicrobial peptides: how it depends on the presence of host cells and cell density

RSC Advances(2023)10.1039/d3ra06030f

N/A

0DataRank · unranked

5 citations

Bethany Schefter, Sattar Taheri-Araghi, Bae‐Yeun Ha, Suemin Lee

Calculating Protein-Ligand Residence Times Through State Predictive Information Bottleneck based Enhanced Sampling

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.16.589710

N/A

0DataRank · unranked

1 citations

Dedi Wang, Markus A. Seeliger, Pratyush Tiwary, Suemin Lee

Generative AI for computational chemistry: A roadmap to predicting emergent phenomena

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2415655121

N/A

0DataRank · unranked

16 citations

Lukas Herron, Richard John, Suemin Lee, Disha Sanwal, Ruiyu Wang +1 more

Using Time Dependent Rate Analysis to Evaluate the Quality of Machine Learned Reaction Coordinates for Biasing and Computing Kinetics

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.07.03.662600

N/A

0DataRank · unranked

0 citations

Suemin Lee, Pilar Cossio, Pratyush Tiwary, Glen M. Hocky, Nicodemo Mazzaferro