Pranav Punuru

Purdue University West Lafayette — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

2h-index47citations12works3.92yr avg
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Research Topics

RNA and protein synthesis mechanisms(4), Machine Learning in Bioinformatics(3), Advanced Electron Microscopy Techniques and Applications(2), Enzyme Structure and Function(2), RNA modifications and cancer(2)

Publications12 total

BPS2026 – Unlocking cryo-EM structures: The EMSuite server for high-accuracy modeling and analysis
Biophysical Journal·2026
BPS2026 – NuFold and NuFold DB: Deep learning approach for RNA structure prediction and database of predicted structures
Biophysical Journal·2026
Queryome: Orchestrating Retrieval, Reasoning, and Synthesis across Biomedical Literature
2025Open Access
Blind Prediction of Complex Water and Ion Ensembles Around <scp>RNA</scp> in <scp>CASP16</scp>
Proteins Structure Function and Bioinformatics·2025· 1 citedOpen Access
Blind prediction of complex water and ion ensembles around RNA in CASP16
2025Open Access
Author response for "Blind Prediction of Complex Water and Ion Ensembles Around &lt;scp&gt;RNA&lt;/scp&gt; in &lt;scp&gt;CASP16&lt;/scp&gt;"
2025
EMSuite Server: Advanced Tools for Cryo-EM Structure Modeling, Validation, and Refinement
Structural Dynamics·2025Open Access
Structure Modeling Protocols for Protein Multimer and <scp>RNA</scp> in <scp>CASP16</scp> With Enhanced <scp>MSAs</scp> , Model Ranking, and Deep Learning
Proteins Structure Function and Bioinformatics·2025· 4 citedOpen Access
Structure Modeling Protocols for Protein Multimer and RNA in CASP16 with Enhanced MSAs, Model Ranking, and Deep Learning
2025Open Access
BPS2025 - Kihara Lab EM Webserver: A platform for automated cryo-EM structure analysis and modeling
Biophysical Journal·2025
NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation
Nature Communications·2025· 42 citedOpen Access
Secondary Structure Detection and Structure Modeling for Cryo-EM
Methods in molecular biology·2024

Frequent Co-authors

Yuki Kagaya(10), Daisuke Kihara(10), Genki Terashi(7), Joon Hong Park(7), Tsukasa Nakamura(5), Jacob Verburgt(5), Emilia Tugolukova(5), Anindya Saha(5), David Huang(5), Nabil Ibtehaz(3), Rachael C. Kretsch(3), Elisa Posani(3), Eugene F. Baulin(3), Janusz M. Bujnicki(3), Giovanni Bussi(3), Thomas E. Cheatham(3), Shi‐Jie Chen(3), Arne Elofsson(3), Masoud Amiri Farsani(3), Olivia N. Fisher(3)