Kaushika Olymon

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 10

Top Topics

Machine Learning

Transcription Factor

Gas Chromatography

Circulating Tumor

Top Venues

Journal of chemical information and modeling

Molecular biology reports

ACS chemical biology

This page only lists publications with an associated author ORCID identifier.

Publications

Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling 64 (7) (2024)
Smrithi Murthy, Upalabdha Dey, Kaushika Olymon, Eshan Abbas, Venkata Rajesh Yella, Aditya Kumar
Discerning the Role of DNA Sequence, Shape, and Flexibility in Recognition by Drosophila Transcription Factors. ACS chemical biology (2024)
Manoj Sharma, Upalabdha Dey, Anindhya Sundar Das, Kaushika Olymon, Aditya Kumar, Rupak Mukhopadhyay
Anti-tumor potential of high salt in breast Cancer cell lines. Molecular biology reports 51 (1) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling (2024)
Smrithi Murthy, Upalabdha Dey, Kaushika Olymon, Eshan Abbas, Venkata Rajesh Yella, Aditya Kumar
Discerning the Role of DNA Sequence, Shape, and Flexibility in Recognition by Drosophila Transcription Factors. ACS chemical biology 19 (7) (2024)
Kaushika Olymon, Mohit Yadav, Valentina Teronpi, Aditya Kumar
Unravelling the genomic secrets of bacterial fish pathogens: a roadmap to aquaculture sustainability. Molecular biology reports 51 (1) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling 64 (7) (2024)
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, Sharmilee Sarkar, Venkata Rajesh Yella, Aditya Kumar
MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI. Journal of chemical information and modeling 64 (7) (2024)
Kaushika Olymon, Mohit Yadav, Valentina Teronpi, Aditya Kumar
Unravelling the genomic secrets of bacterial fish pathogens: a roadmap to aquaculture sustainability. Molecular biology reports 51 (1) (2024)
Mohit Yadav, Sharmilee Sarkar, Kaushika Olymon, Suvendra Kumar Ray, Aditya Kumar
Combined In Silico and In Vitro Study to Reveal the Structural Insights and Nucleotide-Binding Ability of the Transcriptional Regulator PehR from the Phytopathogen Ralstonia solanacearum . ACS omega 8 (38) (2023)