Hahnbeom Park

ORCID: 0000-0002-7129-1912

Also affiliated with Korea Institute of Brain Science, Korean Association Of Science and Technology Studies, Korea Institute of Science and Technology, Sungkyunkwan University

Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer 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 10 papers. Top paper: “An artificial intelligence accelerated virtual screening platform for drug discovery”.

An artificial intelligence accelerated virtual screening platform for drug discovery

Nature Communications(2024)10.1038/s41467-024-52061-7

N/A

2.6DataRank · unranked

210 citations

Domnița-Valeria Rusnac, Hahnbeom Park, Daniele Canzani, Hai M. Nguyen, Lance Stewart +7 more

Improved protein structure prediction using predicted interresidue orientations

Proceedings of the National Academy of Sciences(2020)10.1073/pnas.1914677117

N/A

1.1DataRank · unranked

1539 citations

Ivan Anishchenko, Hahnbeom Park, Zhenling Peng, Sergey Ovchinnikov, David Baker +1 more

Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008103

N/A

0DataRank · unranked

69 citations

Hahnbeom Park, Frank DiMaio, Ryan E. Pavlovicz

The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design

UNC Libraries(2020)10.17615/6sk2-v510

N/A

0DataRank · unranked

0 citations

Matthew J. O’Meara, Philip Bradley, Maxim V. Shapovalov, Rhiju Das, Hahnbeom Park +15 more

Community-Wide Assessment of Protein-Interface Modeling Suggests Improvements to Design Methodology

UNC Libraries(2020)10.17615/35z7-9284

N/A

0DataRank · unranked

0 citations

Thom Vreven, Şefik Kerem Ovalı, Jacob E. Corn, Eva‐Maria Strauch, Julie C. Mitchell +27 more

Accurate prediction of protein structures and interactions using a three-track neural network

Science(2021)10.1126/science.abj8754

N/A

0DataRank · unranked

5780 citations

Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee +27 more

Divergent acyl carrier protein decouples mitochondrial Fe-S cluster biogenesis from fatty acid synthesis in malaria parasites

eLife(2021)10.7554/elife.71636

N/A

0DataRank · unranked

24 citations

Jaime Sepulveda, Yasaman Jami‐Alahmadi, Hahnbeom Park, James A. Wohlschlegel, Paul A. Sigala +1 more

Divergent Acyl Carrier Protein Decouples Mitochondrial Fe-S Cluster Biogenesis from Fatty Acid Synthesis in Malaria Parasites

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.13.439690

N/A

0DataRank · unranked

0 citations

Jaime Sepulveda, Yasaman Jami-Alahmadi, Hahnbeom Park, James A. Wohlschlegel, Paul A. Sigala +1 more

Understanding the molecular mechanisms of odorant binding and activation of the human OR52 family

Nature Communications(2023)10.1038/s41467-023-43983-9

N/A

0DataRank · unranked

57 citations

Jungnam Bae, Seonghan Kim, Seho Lee, Hyunook Kang, Jinuk Kim +8 more

Prediction of Protein Mutational Free Energy: Benchmark and Sampling Improvements Increase Classification Accuracy

Frontiers in Bioengineering and Biotechnology(2020)10.3389/fbioe.2020.558247

N/A

0DataRank · unranked

129 citations

Steven M. Lewis, Indigo King, Frank DiMaio, Hahnbeom Park, Yifan Song +1 more