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Sowmya Ramaswamy Krishnan
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2020 – today
- 2024
- [j5]Sowmya Ramaswamy Krishnan
, Arijit Roy, M. Michael Gromiha
:
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning. Briefings Bioinform. 25(2) (2024) - [c2]Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri:
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. AAAI 2024: 21-29 - 2023
- [j4]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. J. Chem. Inf. Model. 63(16): 5066-5076 (2023) - 2022
- [j3]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. J. Chem. Inf. Model. 62(11): 2685-2695 (2022) - [j2]Sowmya Ramaswamy Krishnan
, Navneet Bung
, Sarveswara Rao Vangala, Rajgopal Srinivasan, Gopalakrishnan Bulusu
, Arijit Roy
:
De Novo Structure-Based Drug Design Using Deep Learning. J. Chem. Inf. Model. 62(21): 5100-5109 (2022) - 2021
- [j1]Sowmya Ramaswamy Krishnan
, Navneet Bung
, Gopalakrishnan Bulusu
, Arijit Roy
:
Accelerating De Novo Drug Design against Novel Proteins Using Deep Learning. J. Chem. Inf. Model. 61(2): 621-630 (2021)
2010 – 2019
- 2019
- [c1]Dibyajyoti Das, Sowmya Ramaswamy Krishnan, Gopalakrishnan Bulusu, Arijit Roy:
Computational predictions of host-pathogen interactions using domain and sequence signature. BIBM 2019: 935-938
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last updated on 2024-04-25 05:50 CEST by the dblp team
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