Sowmya Ramaswamy Krishnan (Sowmya R Krishnan)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Molecular Docking

Machine Learning

Top Venues

Journal of chemical information and modeling

ACS infectious diseases

Briefings in bioinformatics

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

Publications

Sowmya Ramaswamy Krishnan, Divya Sharma, Yasin Nazeer, Mayilvahanan Bose, Thangarajan Rajkumar, Guhan Jayaraman, Narayanan Madaboosi, M Michael Gromiha
rAbDesFlow: a novel workflow for computational recombinant antibody design for healthcare engineering. Antibody therapeutics 7 (3) (2024)
Sowmya Ramaswamy Krishnan, Arijit Roy, M Michael Gromiha
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning. Briefings in bioinformatics 25 (2) (2024)
Sowmya Ramaswamy Krishnan, Arijit Roy, M Michael Gromiha
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning. Briefings in bioinformatics 25 (2) (2024)
Sowmya Ramaswamy Krishnan, Ruben R G Soares, Narayanan Madaboosi, M Michael Gromiha
AutoPLP: A Padlock Probe Design Pipeline for Zoonotic Pathogens. ACS infectious diseases 9 (3) (2023)
Sowmya Ramaswamy Krishnan, Ruben R G Soares, Narayanan Madaboosi, M Michael Gromiha
AutoPLP: A Padlock Probe Design Pipeline for Zoonotic Pathogens. ACS infectious diseases 9 (3) (2023)
Sarveswara Rao Vangala, Sowmya Ramaswamy Krishnan, Navneet Bung, Rajgopal Srinivasan, Arijit Roy
pBRICS: A Novel Fragmentation Method for Explainable Property Prediction of Drug-Like Small Molecules. Journal of chemical information and modeling (2023)
Sankaran Venkatachalam, Nisha Murlidharan, Sowmya Ramaswamy Krishnan, Chandrasekaran Ramakrishnan, Mpho Setshedi, Ramesh Pandian, Debmalya Barh, Sandeep Tiwari, Vasco Ariston de Carvalho Azevedo, Yasien Sayed, M Michael Gromiha
Understanding Drug Resistance of Wild-Type and L38HL Insertion Mutant of HIV-1 C Protease to Saquinavir. Genes 14 (2) (2023)
Sowmya Ramaswamy Krishnan, Ruben R G Soares, Narayanan Madaboosi, M Michael Gromiha
AutoPLP: A Padlock Probe Design Pipeline for Zoonotic Pathogens. ACS infectious diseases (2023)
Sankaran Venkatachalam, Nisha Murlidharan, Sowmya Ramaswamy Krishnan, Chandrasekaran Ramakrishnan, Mpho Setshedi, Ramesh Pandian, Debmalya Barh, Sandeep Tiwari, Vasco Ariston de Carvalho Azevedo, Yasien Sayed, M Michael Gromiha
Understanding Drug Resistance of Wild-Type and L38HL Insertion Mutant of HIV-1 C Protease to Saquinavir. Genes 14 (2) (2023)
Sankaran Venkatachalam, Nisha Murlidharan, Sowmya Ramaswamy Krishnan, Chandrasekaran Ramakrishnan, Mpho Setshedi, Ramesh Pandian, Debmalya Barh, Sandeep Tiwari, Vasco Ariston de Carvalho Azevedo, Yasien Sayed, M Michael Gromiha
Understanding Drug Resistance of Wild-Type and L38HL Insertion Mutant of HIV-1 C Protease to Saquinavir. Genes 14 (2) (2023)
Navneet Bung, Sowmya Ramaswamy Krishnan, Arijit Roy
An In Silico Explainable Multiparameter Optimization Approach for De Novo Drug Design against Proteins from the Central Nervous System. Journal of chemical information and modeling 62 (11) (2022)
Sarveswara Rao Vangala, Navneet Bung, Sowmya Ramaswamy Krishnan, Arijit Roy
An interpretable machine learning model for selectivity of small-molecules against homologous protein family. Future medicinal chemistry 14 (20) (2022)
Sowmya Ramaswamy Krishnan, Navneet Bung, Gopalakrishnan Bulusu, Arijit Roy
Accelerating De Novo Drug Design against Novel Proteins Using Deep Learning. Journal of chemical information and modeling 61 (2) (2021)
Sowmya Ramaswamy Krishnan, Navneet Bung, Sarveswara Rao Vangala, Rajgopal Srinivasan, Gopalakrishnan Bulusu, Arijit Roy
De Novo Structure-Based Drug Design Using Deep Learning. Journal of chemical information and modeling (2021)
Navneet Bung, Sowmya Ramaswamy Krishnan, Gopalakrishnan Bulusu, Arijit Roy
De novo design of new chemical entities for SARS-CoV-2 using artificial intelligence. Future medicinal chemistry 13 (6) (2021)