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ORCIDShyam Sundar Das
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2020 – today
- 2023
[c8]Ayush Garg
, Shyam Sundar Das, Narayanan Ramamurthi:
AutoML in Drug Discovery: Side-Effects Prediction Using AutoGluon Framework and Its Applications in Drug Discovery. BCB 2023: 60:1- [c7]Ayush Garg, Shyam Sundar Das, Narayanan Ramamurthi:
Drug Target Prioritization Based on Ligand Binding Pocket and Disease-Target Association Scores. BCB 2023: 71:1 - [c6]Pritish Ranjan, Shyam Sundar Das, Narayanan Ramamurthi:
Investigation of Drug Repurposing Opportunities Using Side-effects data, Topic Modelling and Clustering Algorithms. BCB 2023: 79:1 - [c5]Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee:
Prediction of DILI in Humans: Investigating Opportunities in DILIst Data, Chemical Features, Machine Learning and Rule-Based Methods. BIBM 2023: 3103-3110 - [c4]Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee:
Evaluation of AutoML Frameworks for Computational ADMET Screening in Drug Discovery & Development. BIBM 2023: 4929-4931 - 2022
- [c3]Shyam Sundar Das, Geervani Koneti, Narayanan Ramamurthi:
Hybrid Modified League Championship Algorithm and its Applications in Compartmental Pharmacokinetic-Pharmacodynamic Data Analysis. BIBM 2022: 3248-3251 - [c2]Geervani Koneti, Mastan Vali Shaik, Shyam Sundar Das, Narayanan Ramamurthi:
Parallelized Population Based Exhaustive Replacement Method for Reproducible Features Selection and Its Applications in Drug Discovery. BIBM 2022: 3837-3839 - [c1]Geervani Koneti, Shyam Sundar Das, Jyotsna Bahl, Pritish Ranjan, Narayanan Ramamurthi:
Discovering the Knowledge in Unstructured Early Drug Development Data Using NLP and Advanced Analytics. BIBM 2022: 3840-3842
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