Mu Gao

Biochemistry, Genetics and Molecular BiologyMaterials SciencePhysics and Astronomy

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 13 papers. Top paper: “A novel sequence alignment algorithm based on deep learning of the protein folding code”.

A novel sequence alignment algorithm based on deep learning of the protein folding code

Bioinformatics(2020)10.1093/bioinformatics/btaa810

N/A

0DataRank · unranked

20 citations

Jeffrey Skolnick, Mu Gao

Differential kinase activity of ACVR1 G328V and R206H mutations with implications to possible TβRI cross-talk in diffuse intrinsic pontine glioma

Scientific Reports(2020)10.1038/s41598-020-63061-0

N/A

0DataRank · unranked

8 citations

Miao Jin, Mu Gao, Hongyi Zhou, Yizhi Jane Tao, Jeffrey Skolnick +1 more

Spatial heterogeneity of glioblastoma cells reveals sensitivity to NAD + depletion at tumor edge

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.26.399725

N/A

0DataRank · unranked

3 citations

Davide Botta, Hee Jin Cho, Xiaoxian Guo, Saya Ozaki, Victoria L. Flanary +18 more

A General Framework to Learn Tertiary Structure for Protein Sequence Characterization

Frontiers in Bioinformatics(2021)10.3389/fbinf.2021.689960

N/A

0DataRank · unranked

5 citations

Jeffrey Skolnick, Mu Gao

AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function

FIA Kenkyu Kondankai kaishi/Journal of flow injection analysis(2021)10.1021/acs.jcim.1c01114

N/A

0DataRank · unranked

259 citations

Mu Gao, Hongyi Zhou, Suresh B. Singh, Jeffrey Skolnick

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

Predicting direct physical interactions in multimeric proteins with deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.09.467949

N/A

0DataRank · unranked

2 citations

Davi Nakajima An, Jerry M. Parks, Jeffrey Skolnick, Mu Gao

A general framework to learn tertiary structure for protein sequence characterization

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.01.438098

N/A

0DataRank · unranked

0 citations

Jeffrey Skolnick, Mu Gao

AF2Complex predicts direct physical interactions in multimeric proteins with deep learning

Nature Communications(2022)10.1038/s41467-022-29394-2

N/A

0DataRank · unranked

277 citations

Davi Nakajima An, Jerry M. Parks, Jeffrey Skolnick, Mu Gao

Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.25.505253

N/A

0DataRank · unranked

0 citations

Davi Nakajima An, Jeffrey Skolnick, Mu Gao

A wild boar cathelicidin peptide derivative inhibits severe acute respiratory syndrome coronavirus-2 and its drifted variants

Scientific Reports(2023)10.1038/s41598-023-41850-7

N/A

0DataRank · unranked

2 citations

Karla Navarrete, Nicholas A. Arce, Mu Gao, Gordon Dale, Meredith E. Davis-Gardner +12 more

Improved deep learning prediction of antigen–antibody interactions

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2410529121

N/A

0DataRank · unranked

16 citations

Jeffrey Skolnick, Mu Gao

Predicting protein interactions of the kinase Lck critical to T cell modulation

Structure(2024)10.1016/j.str.2024.09.010

N/A

0DataRank · unranked

7 citations

Jeffrey Skolnick, Mu Gao