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Krishna Dev Oruganty
PeerJ Editor
300 Points

Contributions by role

Editor 300

Contributions by subject area

Artificial Intelligence
Computer Vision
Neural Networks
Bioinformatics
Computational Biology
Genomics
Data Mining and Machine Learning
Food Science and Technology
Plant Science

Krishna Dev Oruganty

PeerJ Editor

Summary

I can best describe myself as a simulation biologist. I am interested in simulating life processes at multiple scales. From the atomic scale to understand protein function to cellular or systems scale to understand physiological processes. My main tool is the computer which I use to analyze, understand and predict biology. Secondary tools are in vitro biochemistry and biophysics experiments that I use to validate my predictions.

Artificial Intelligence Biochemistry Bioinformatics Biophysics Computational Biology Computer Vision Data Mining & Machine Learning Databases Genomics Molecular Biology Natural Language & Speech Text Mining

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

University of Georgia
University of Michigan

Work details

Senior Scientist, AI/ML

Solugen Inc
February 2022
Enzymology
Protein design and biophysical analysis of enzymes.

Head of Dept

GVKBIO Pvt Ltd
February 2015
Drug Repurposing
Develop computational methods for drug repurposing and Pharmacogenomics work.

Postdoctoral Researcher

University of Georgia
October 2010 - December 2014
Biochemistry and Molecular Biology
Develop and experimentaly validate structural mechanisms of allostery in protein kinases.

Research Fellow

University of Michigan - Ann Arbor
April 2017 - June 2018
Biomedical Engineering
Develop metabolic models in normal and disease states in both bacteria and human cells.

Vice-president, Data Science, Pharmacovigilance

Genpact LLC
June 2018 - February 2022
PVAI
Data mining and biomedical NLP for drug safety reporting.

Websites

  • Google Scholar
  • ORCID

PeerJ Contributions

  • Edited 3

Academic Editor on

April 7, 2025
Two-stage object detection in low-light environments using deep learning image enhancement
Ghaith Al-refai, Hisham Elmoaqet, Abdullah Al-Refai, Ahmad Alzu’bi, Tawfik Al-Hadhrami, Abedalrhman Alkhateeb
https://doi.org/10.7717/peerj-cs.2799
December 8, 2023
BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT
Shuyu Wang, Yinbo Liu, Yufeng Liu, Yong Zhang, Xiaolei Zhu
https://doi.org/10.7717/peerj.16600 PubMed 38089911
January 30, 2023
Discrimination of foreign bodies in quinoa (Chenopodium quinoa Willd.) grains using convolutional neural networks with a transfer learning approach
Himer Avila-George, Miguel De-la-Torre, Jorge Sánchez-Garcés, Joel Jerson Coaquira Quispe, Jose Manuel Prieto, Wilson Castro
https://doi.org/10.7717/peerj.14808 PubMed 36743959