🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Nabin Giri

Lawrence Berkeley National Laboratory

ORCID: 0000-0002-0251-3956
Biochemistry, Genetics and Molecular BiologyMaterials 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 2%percentile
4.2Author DataRank

Indexed papers

6in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 6 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26609
Top 11%
1.9DataRank
Top 11%81 citations

Guillaume Brysbaert, Nessim Raouraoua, Paul A. Bates, Marco Giulini, Rodrigo V. Honorato +95 more

Papers

Driven by 15 papers — median percentile 65. Top paper: “Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment”.

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26609
Top 11%
1.9DataRank
Top 11%81 citations

Guillaume Brysbaert, Nessim Raouraoua, Paul A. Bates, Marco Giulini, Rodrigo V. Honorato +95 more

Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge

Nature Methods(2024)10.1038/s41592-024-02321-7
Top 23%
0.871DataRank
Top 23%18 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent B. Chen +76 more

Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures

Scientific Data(2024)10.1038/s41597-024-03299-9
Top 34%
0.571DataRank
Top 34%19 citations

Liguo Wang, Jianlin Cheng, Nabin Giri

Impact of AlphaFold on Structure Prediction of Protein Complexes: The CASP15-CAPRI Experiment

Utrecht University Repository (Utrecht University)(2023)10.22541/au.168888815.53957253/v1
Top 36%
0.540DataRank
Top 36%17 citations

Guillaume Brysbaert, Nessim Raouraoua, Paul A. Bates, Marco Giulini, Rodrigo V. Honorato +95 more

Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.14.545024
Top 67%
0.171DataRank
Top 67%2 citations

Liguo Wang, Jianlin Cheng, Nabin Giri

A labeled dataset for AI-based cryo-EM map enhancement

Computational and Structural Biotechnology Journal(2025)10.1016/j.csbj.2025.06.041
Top 78%
0.104DataRank
Top 78%1 citations

Xiao Chen, Liguo Wang, Jianlin Cheng, Nabin Giri

Assessing the potential of deep learning for protein–ligand docking

Nature Machine Intelligence(2025)10.1038/s42256-025-01160-1
N/A
0DataRank · unranked
11 citations

Nabin Giri, Jian LIU, Pawan Neupane, Jianlin Cheng, Alex Morehead

Protein‐Ligand Structure and Affinity Prediction in CASP16 Using a Geometric Deep Learning Ensemble and Flow Matching

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.26827
N/A
0DataRank · unranked
4 citations

Jian Liu, Pawan Neupane, Nabin Giri, Jianlin Cheng, Alex Morehead

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function

PubMed(2021)10.1109/mlhpc54614.2021.00010
N/A
0DataRank · unranked
13 citations

Peik K. Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen +12 more

Protein-ligand structure and affinity prediction in CASP16 using a geometric deep learning ensemble and flow matching

(2025)10.22541/au.173812699.96369139/v1
N/A
0DataRank · unranked
2 citations

Jian Liu, Pawan Neupane, Nabin Giri, Jianlin Cheng, Alex Morehead

Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions

Current Opinion in Structural Biology(2023)10.1016/j.sbi.2023.102536
N/A
0DataRank · unranked
68 citations

Raj S. Roy, Jianlin Cheng, Nabin Giri

Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26542
N/A
0DataRank · unranked
23 citations

Jian Liu, Nabin Giri, Zhiye Guo, Jianlin Cheng, Raj S. Roy

Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.08.531814
N/A
0DataRank · unranked
1 citations

Raj S. Roy, Jian Liu, Nabin Giri, Zhiye Guo, Jianlin Cheng

De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM

Nature Communications(2024)10.1038/s41467-024-49647-6
N/A
0DataRank · unranked
45 citations

Jianlin Cheng, Nabin Giri

Outcomes of the EMDataResource Cryo-EM Ligand Modeling Challenge

Research Square(2024)10.21203/rs.3.rs-3864137/v1
N/A
0DataRank · unranked
2 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent Chen +76 more