Austin Clyde

Computer ScienceMaterials ScienceBiochemistry, 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 11 papers. Top paper: “A cross-study analysis of drug response prediction in cancer cell lines”.

A cross-study analysis of drug response prediction in cancer cell lines

Briefings in Bioinformatics(2021)10.1093/bib/bbab356

N/A

0DataRank · unranked

99 citations

Jonathan Allen, Prasanna Balaprakash, Thomas Brettin, Cristina García–Cardona, Austin Clyde +19 more

Structural, Electronic, and Electrostatic Determinants for Inhibitor Binding to Subsites S1 and S2 in SARS-CoV-2 Main Protease

Journal of Medicinal Chemistry(2021)10.1021/acs.jmedchem.1c01475

N/A

0DataRank · unranked

60 citations

Hui Li, Stephanie Galanie, G.N. Phillips, Audrey Labbé, Kevin L. Weiss +12 more

Learning curves for drug response prediction in cancer cell lines

BMC Bioinformatics(2021)10.1186/s12859-021-04163-y

N/A

0DataRank · unranked

4 citations

Thomas Brettin, Yvonne A. Evrard, Yitan Zhu, Hyunseung Yoo, Fangfang Xia +7 more

#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.12.468428

N/A

0DataRank · unranked

28 citations

Lorenzo Casalino, Fiona L. Kearns, Mia A. Rosenfeld, Nicholas Wauer, Surl-Hee Ahn +47 more

Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.09.463779

N/A

0DataRank · unranked

6 citations

Defne Gorgun, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma +29 more

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221128233

N/A

0DataRank · unranked

98 citations

Lorenzo Casalino, Fiona L. Kearns, Mia A. Rosenfeld, Nicholas Wauer, Surl-Hee Ahn +47 more

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221113513

N/A

0DataRank · unranked

6 citations

Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin +29 more

Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

Frontiers in Medicine(2023)10.3389/fmed.2023.1086097

N/A

0DataRank · unranked

135 citations

Thomas Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek +2 more

Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models

Cancers(2023)10.3390/cancers16010050

N/A

0DataRank · unranked

9 citations

Yitan Zhu, Thomas Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla +6 more

ChemoGraph: Interactive Visual Exploration of the Chemical Space

Computer Graphics Forum(2023)10.1111/cgf.14807

N/A

0DataRank · unranked

8 citations

Austin Clyde, Maoyuan Sun, Arvind Ramanathan, Rick Stevens, Michael E. Papka +1 more

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data

arXiv (Cornell University)(2024)10.48550/arxiv.2409.12215

N/A

0DataRank · unranked

0 citations

Alexander Partin, Thomas Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari +19 more