K. Harini
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
22
Citations
521
Est. group size
~2
Recurring co-author estimate
Active years
10
Publishing since 2016
K. Harini's work focuses on computational and structural biology methods for understanding how proteins interact with DNA, RNA, and other proteins, including building databases and prediction tools for how mutations affect the strength of these interactions (binding affinity). This work supports research on protein complex structure, docking (predicting how molecules fit together), and machine learning approaches applied to biomolecular data. The research combines bioinformatics tool development with structural biology applications.
Publication output has grown substantially in recent years, rising from little to no output in 2017-2018 to a peak of several publications per year by 2023-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Evidence of centromeric histone 3 chaperone involved in DNA damage repair pathway in budding yeast
eLife · 2025
- PRA-MutPred: Predicting the Effect of Point Mutations in Protein–RNA Complexes Using Structural Features
Journal of Chemical Information and Modeling · 2025
- Computational design of protein complexes: influence of binding affinity
Chemical Communications · 2025
- Sql Injection Attack Detection using Logistic Regression and TF-IDF Vectorization
International Journal on Science and Technology · 2025
- PRA-Pred: Structure-based prediction of protein-RNA binding affinity
International Journal of Biological Macromolecules · 2024
- Protein-nucleic acid complexes: Docking and binding affinity
Current Opinion in Structural Biology · 2024
- Assembly of Protein Complexes in and on the Membrane with Predicted Spatial Arrangement Constraints
Journal of Molecular Biology · 2024
- Bioinformatics Approaches for Understanding the Binding Affinity of Protein–Nucleic Acid Complexes
Methods in molecular biology · 2024
- Bioinformatics approaches for understanding the consequences of mutations to the binding affinity of protein–DNA complexes
WORLD SCIENTIFIC eBooks · 2024
- Computational resources for understanding the effect of mutations in binding affinities of protein–RNA complexes
WORLD SCIENTIFIC eBooks · 2024
- PDA-Pred: Predicting the binding affinity of protein-DNA complexes using machine learning techniques and structural features
Methods · 2023
- Pairwise and Multi-chain Protein Docking Enhanced Using LZerD Web Server
Methods in molecular biology · 2023
- Comment on ‘Thermodynamic database supports deciphering protein–nucleic acid interactions’
Trends in biotechnology · 2023
- Assembly of Protein Complexes In and On the Membrane with Predicted Spatial Arrangement Constraints
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- ProNAB: database for binding affinities of protein–nucleic acid complexes and their mutants
Nucleic Acids Research · 2021
- Nucleic Acids Research×2
- Methods in molecular biology×2
- WORLD SCIENTIFIC eBooks×2
- bioRxiv (Cold Spring Harbor Laboratory)×2
- BMC Materials×1
- Thomas J. Magliery
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Laura M. Chamness
Biochemistry, Genetics and Molecular Biology · Indiana University
- Christopher M. Hemmerich
Biochemistry, Genetics and Molecular Biology · Indiana University
- Jue Wang
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Barbara L. Golden
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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