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

Alexander Golbraikh

University of North Carolina at Chapel Hill

ORCID: 0000-0003-1711-7953
Computer ScienceChemistryBiochemistry, Genetics and Molecular Biology

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 8 papers. Top paper: “A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models”.

A Novel Automated Lazy Learning QSAR (ALL-QSAR) Approach: Method Development, Applications, and Virtual Screening of Chemical Databases Using Validated ALL-QSAR Models

Figshare(2020)10.17615/acf2-ds75
N/A
0DataRank · unranked
6 citations

Shuxing Zhang, Alexander Golbraikh, Alexander Tropsha, Scott Oloff, Harold Kohn

Development of Quantitative Structure−Binding Affinity Relationship Models Based on Novel Geometrical Chemical Descriptors of the Protein−Ligand Interfaces

UNC Libraries(2020)10.17615/yq3f-wf04
N/A
0DataRank · unranked
3 citations

Alexander Golbraikh, Shuxing Zhang, Alexander Tropsha

A Novel Two-Step Hierarchical Quantitative Structure–Activity Relationship Modeling Work Flow for Predicting Acute Toxicity of Chemicals in Rodents

UNC Libraries(2020)10.17615/r26r-nb25
N/A
0DataRank · unranked
1 citations

Lin Ye, Fred A. Wright, Alexander Tropsha, Alexander Golbraikh, Ivan Rusyn +2 more

Application of Quantitative Structure–Activity Relationship Models of 5-HT 1A Receptor Binding to Virtual Screening Identifies Novel and Potent 5-HT 1A Ligands

UNC Libraries(2020)10.17615/yqtx-qp19
N/A
0DataRank · unranked
1 citations

Man Luo, Alexander Tropsha, Bryan L. Roth, Alexander Golbraikh

Quantitative structure - property relationship modeling of remote liposome loading of drugs

UNC Libraries(2020)10.17615/qpy2-9p12
N/A
0DataRank · unranked
0 citations

Aleck Sedykh, Alexander Tropsha, Alexander Golbraikh, Amiram Goldblum, Ahuva Cern +1 more

Development, Validation, and Use of Quantitative Structure−Activity Relationship Models of 5-Hydroxytryptamine (2B) Receptor Ligands to Identify Novel Receptor Binders and Putative Valvulopathic Compounds among Common Drugs

Figshare(2020)10.17615/34gp-xv08
N/A
0DataRank · unranked
0 citations

Alexander Tropsha, Bryan L. Roth, Rima Hajjo, Alexander Golbraikh, Vincent Setola +2 more

Data Set Modelability by QSAR

Figshare(2021)10.17615/c343-bx61
N/A
0DataRank · unranked
0 citations

Eugene Muratov, Alexander Golbraikh, Denis Fourches, Alexander Tropsha

Multi-Descriptor Read Across (MuDRA): A Simple and Transparent Approach for Developing Accurate Quantitative Structure-Activity Relationship Models

UNC Libraries(2024)10.17615/p7tz-t004
N/A
0DataRank · unranked
0 citations

Alexander Tropsha, Alexander Golbraikh, Stephen J. Capuzzi, Kammy Liu, Carolina Horta Andrade +5 more