Sita Sirisha Madugula

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool”.

NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool

ACS Omega(2023)10.1021/acsomega.3c00286

N/A

0.124DataRank · unranked

1 citations

S. K. Singh Pandey, Shreya Amalapurapu, Serdar Bozdag, Sita Sirisha Madugula

NRPreTo: A Machine Learning Based Nuclear Receptor and Subfamily Prediction Tool

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.12.516270

N/A

0DataRank · unranked

0 citations

S. K. Singh Pandey, Shreya Amalapurapu, Serdar Bozdag, Sita Sirisha Madugula

Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.22.576286

N/A

0DataRank · unranked

1 citations

Pranav Pujar, Bharani Nammi, Shouyi Wang, Vindi M. Jayasinghe‐Arachchige, Tyler Pham +4 more

Structure-Based Classification of CRISPR/Cas9 Proteins: A Machine Learning Approach to Elucidating Cas9 Allostery

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.05.647395

N/A

0DataRank · unranked

0 citations

Vindi M. Jayasinghe‐Arachchige, Charlene Norgan Radler, Shouyi Wang, Jin Liu, Sita Sirisha Madugula

Structure-Based Classification of CRISPR/Cas9 Proteins: A Machine Learning Approach to Elucidating Cas9 Allostery

Journal of Molecular Biology(2025)10.1016/j.jmb.2025.169538

N/A

0DataRank · unranked

0 citations

Vindi M. Jayasinghe‐Arachchige, Charlene R Norgan Radler, Shouyi Wang, Jin Liu, Sita Sirisha Madugula