PUBLICATIONS

International Journals:

1. Pranab Das and Dilwar Hussain Mazumder “MLCNNF: A Multi-Label Convolutional Neural Network Framework for Predicting Adverse COVID Drug Reactions From the Chemical Structure.” IEEE Transactions on Computational Biology and Bioinformatics (2025).[Impact Factor – 3.71, SCIE Index] DOI: https://doi.org/10.1109/TCBBIO.2024.3515480 .
2. Pranab Das, YogitaThakran, SR Ngamwal Anal, Vipin Pal, and Anju Yadav “BRMCF: Binary Relevance and Mlsmote Based Computational Framework to Predict Drug Functions from Chemical and Biological Properties of Drugs.” IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022).[Impact Factor – 3.71, SCIE Index] DOI: https://doi.org/10.1109/TCBB.2022.3215645 .
3. Pranab Das, and Dilwar Hussain Mazumder. “Advances in Predicting Drug Functions: A Decade-Long Survey in Drug Discovery Research.” IEEE Transactions on Molecular, Biological and Multi-Scale Communications (2023). [Impact Factor – 2.4, Emerging Sources Citation Index] DOI: https://doi.org/10.1109/TMBMC.2023.3345145 .
4. Pranab Das, and Dilwar Hussain Mazumder. “A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs.” ACM Computing Surveys (2024). [Impact Factor – 23.8, SCI Index] DOI: https://doi.org/10.1145/3699713 .
5. Pranab Das, and Dilwar Hussain Mazumder. “An Extensive Survey on the Use of Supervised Machine Learning Techniques in the Past Two Decades for Prediction of Drug Side Effects.” Artificial Intelligence Review (2023): 1-28. [Impact Factor – 10.7, SCI Index] DOI: https://doi.org/10.1007/s10462-023-10413-7 .
6. Pranab Das, and Dilwar Hussain Mazumder. “K1K2NN: A Novel Multi-Label Classification Approach Based on Neighbors for Predicting COVID-19 Drug Side Effects.” Computational Biology and Chemistry  (2024). [Impact Factor – 2.6, SCIE Index] DOI: https://doi.org/10.1016/j.compbiolchem.2024.108066 .
7. Pranab Das, and Dilwar Hussain Mazumder. “MLCNN‐COV: A Multilabel Convolutional Neural Network‐Based Framework to Identify Negative COVID Medicine Responses from the Chemical Three‐Dimensional Conformer.” ETRI Journal (2023). [Impact Factor – 1.3, SCIE Index] DOI: https://doi.org/10.4218/etrij.2022-0339 .
8. Pranab Das, YogitaThakran, and Vipin Pal. “Integrative Analysis of Chemical Properties and Functions of Drugs for Adverse Drug Reaction Prediction based on Multi-Label Deep Neural Network.” Journal of Integrative Bioinformatics (2022). [Impact Factor – 1.5, Emerging Sources Citation Index] https://doi.org/10.1515/jib-2022-0007 .
9. Pranab Das, and Dilwar Hussain Mazumder. “Inceptionv3-LSTM-COV: A Multi-Label Framework for Identifying Adverse Reactions to COVID Medicine from Chemical Conformers based on Inceptionv3 and Long Short-Term Memory.” ETRI Journal (2023). [Impact Factor – 1.3, SCIE Index] DOI: https://doi.org/10.4218/etrij.2023-0288 .
10. Pranab Das. “Multi-Label Random Forest-Based Framework to Associate Drug Functions from Anatomical Therapeutic Chemical Class” International Journal of All Research Education and Scientific Methods.[Impact Factor – 8.53] Link: https://www.ijaresm.com/uploaded_files/document_file/Pranab_DasZkQn.pdf .
11. Pranab Das. ” Multi-Label Long Short-Term Memory-Based Framework To Analyze Drug Functions From Biological Properties”International Journal of Innovative Science and Research Technology.[Impact Factor – 8.22] DOI: https://doi.org/10.5281/zenodo.6997140 .

International Conferences:

1. Pranab Das, Jerry W. Sangma, Vipin Pal, and YogitaThakran “Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-Label Classification and MLSMOTE.” Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB) (2021). (Spain) (SCOPUS Index) DOI: https://doi.org/10.1007/978-3-030-86258-9_17 .
2. Pranab Das, and Dilwar Hussain Mazumder. “Predicting Anatomical Therapeutic Chemical Drug Classes from 17 Molecules’ Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE.” 5th International conference on computational biology and bioinformatics. 2021(Indonesia) (SCOPUS Index) DOI: https://doi.org/10.1145/3512452.3512453 .
3. Pranab Das, and Dilwar Hussain Mazumder. ” MLCNN-CDSE: A Multi-Label Convolutional Neural Network Model for Predicting COVID Drug Side Effects from Images of Stick Structure-Based Chemical Conformers”. International Conference of ”. IEEE SILCON  2024 (INDIA) (SCOPUS Index) DOI: https://doi.org/10.1109/SILCON59133.2023.10404151 .
4. Pranab Das, and Dilwar Hussain Mazumder. “Predicting Drug Functions from Gene Ontology, Amino Acid Sequences, and Drug-Disease Associations through Multi-label Machine Learning with MLSMOTE”. IEEE SILCON 2024 (INDIA) (SCOPUS Index) DOI: https://doi.org/10.1109/SILCON59133.2023.10404139 .

International Book Chapter

1. Pranab Das, and Dilwar Hussain Mazumder. “Identify Unfavorable COVID Medicine Reactions from the Three-Dimensional Structure by Employing Convolutional Neural Network.” Mathematical Modeling and Intelligent Control for Combating Pandemics, 2023.  (Switzerland) (SCOPUS Index)DOI: https://doi.org/10.1007/978-3-031-33183-1_9 .
2. Das, and Dilwar Hussain Mazumder. “Predicting Drug Functions from Adverse Drug Reactions by Multi-Label Deep Neural Network.” Multimodal AI in healthcare: A paradigm shift in health intelligence. Cham: Springer International Publishing, 2022. (US) (SCOPUS Index) DOI:https://doi.org/10.1007/978-3-031-14771-5_15 .