Dr Subrata Sinha

Funded Research Projects

1. Title of Project: “Design and Development of Chemical Compounds Database based on Traditionally used Medicinal Plants curated for Drug Designing”

Role: Principal Investigator Funding Agency: Indian Council of Medical Research

Grant No: BIC/12(31)/2013 dt. 17/02/2017

Sanctioned Amount: 6.75 Lacs

Project Status: Completed

Completion Date: 8/11/2020

Funded Research Projects

2. Title of Project: “Design, Development and Deployment of Deep Learning (Ensemble) Model for Lung Cancer Detection : A Retrospective Study”

Role: Principal Investigator Funding Agency: Indian Council of Medical Research

ICMR Project ID: IIRP-2023-0847 dated. 12/10/2023

Sanctioned Amount: 66 Lacs

Project Status: Ongoing

Grant Date: 08/02/2024

Journal Publications

1. Baassi M, Moussaoui M, Soufi H, Rajkhowa S, Sharma A, Sinha S, et al. (2023) Towards designing of a potential new HIV-1 protease inhibitor using QSAR study in combination with Molecular docking and Molecular dynamics simulations. PLoS ONE 18(4): e0284539. https://doi.org/10.1371/journal.pone.0284539

2. Sinha S, Sharma S, Johari S, Sharma A, Rajkhowa S (2023). Design and Development of Hydrophobicity and Net charge Based Artificial Neural Network Model for IDP/IDPR Prediction. Procedia Computer Science 218C (2023) pp. 440-450

3. Sinha S., Hazarika A., Johari S., Neog B., Rajkhowa S., Biswas A(2022). IMPDB: Indian Medicinal Phytochemical Database Curated for Drug Designing. Journal of Computational Biophysics and Chemistry. 21(06):709-728

4. Johari S, Sharma A, Sinha S, Das A (2019). Integrating pharmacophore mapping, virtual screening, density functional theory, molecular simulation towards the discovery of novel apolipoprotein (apoE ε4) inhibitors. Computational Biology and Chemistry 2019. 79:83-90

5. Pegu R, Sarma BP, Borua R, Sinha S, Johari S, Ghosh A (2015). Evaluation of the Clinical Effect of Poly Herbal Compound in the Management of (Bronchial Asthma) Tamakaswasa and Study the Vasaka (Adhatoda Vasica Nees) in Silico Approach[Abstract-IND-16]; Indian Journal of Pharmachology 2015; Vol 47(7):57-177(SCI-Expanded IF: 0.69)

6. Johari S, Sinha S, Khati RS, Sharma A, Ghosh A, Sarma BP (2015). A Novel In silico Study of Kidney Stone Formulations Found in Shusruta Samhita: An Inception of Ayurinformatics[Abstract-AUT-2];Indian Journal of Pharmachology 2015; Vol 47(7):57-177 (SCI-Expanded IF: 0.69)

7. Sinha S, Bora B, Hazarika GC (2015). Development of a Java Library for Protein Stability and Disorder Computations; Procedia Computer Science Elsevier 2015; 70(C): 265-273 DOI: 10.1016/ j.procs.2015.10.086 (Scopus Impact Score: 3.0)

8. Sinha S, Nath PP, Hazarika GC (2015). Multi Core Aware Java Library for Computing Protein Stability Indices – A Performance Improvement and Power Consumption Study; Procedia Computer Science Elsevier 2015; 70(C):715-722 DOI: 10.1016/j.procs.2015.10.109 (Scopus Impact Score: 3.0 )

9. Sinha S, Medhi SP, Hazarika GC (2015). Design and Development of Grid Enabled, GP2U Accelerated Java Application (Protein Sequence Study) for Grid Performance Analysis; Procedia Computer Science Elsevier 2015; 70(C):769-777 DOI: 10.1016/j.procs.2015.10.116 (Scopus Impact Score: 3.0 )

10. Pegu R, Sarma BP, Borua R, Sinha S, Johari S , Ghosh A (2014). Virtual Screening and Molecular Docking studies for discovery of potent drug candidates among compounds of Adhatoda vasica against Bronchial Asthma; Indian Journal of Pharmacology , December 2014 , Vol 46(Supplement):S37

11. Jana C, Chaturvedi I, Robine O, Sinha S, Nigam A, Sharma A (2014). Finding Natural Inhibitor for NS3 Protease Enzyme from Dengue Virus via Molecular Modeling; International Journal of Basic and Applied Biology 2014; 2(3): 124-129

12. Yim M, Sarma BP, Sinha S, Deka H, Deka H, Parida P, Ghosh A and Johari S (2014). Exploring the Possible Mechanism of Albizzia Lebbeck Components Binding With Drug Targets of Bronchial Asthma –An Insilico and Clinical Analysis. Int J Pharm Sci Res 2014; 5(11): 5040-495

13. Yim M , Sarma BP, Johari S , Sinha S , Deka H , Deka H , Sarma J (2013). Ligand binding studies of identified target protein responsible for Tamaka Swasa (bronchial asthma) with compounds of Shirish - an In Silico Approach; Journal of Ayurveda and Integrative Medicine 2013; 4(Supplement):13

14. Sinha S (2012). Core temperature depends on the processing load of the core and the temperature of adjacent core-A Regression Analysis. Communications in Computer and Information Science Springer 2012; 269: 32-36

15. Sinha S, Johari S, Gupta K, Bora S (2012). Protein ligand interaction studies of DJ-1 protein responsible for Parkinson’s disease and chemical analogues of Bacopa monnieri (Brahmi) compounds. Communications in Computer and Information Science Springer 2012; 269: 44–50

16. Johari S, Sinha S, Bora S, Biswas S, Gupta K (2012). Ligand binding studies of Caspase 3 protein with compounds of Bacopa monneri - A target protein responsible for Alzheimer's disease (AD). Communications in Computer and Information Science 269 Springer 2012; 269: 37-43

17. Chakraborty S, Sinha S, Johari S, Dutta P (2012). Design and Development of Software for managing data for Protein-Ligand Docking Studies, International Journal of Science and Applied Information Technology 2012; 1(1) : 25-29

18. Sinha S, Das PS, Chakraborty S, Dutta P, Deori BP (2012). Inception of Medi Java: An Open Source Library for Medical Science. International Journal of Applied Information Systems 2012 3(2):38-44

Books

1. Mohit Kedia, Subrata Sinha (2023). Basic Concepts of Operating System. LAP Lambert Academic Publishing. ISBN: 978-620-6-76838-8

2. Subrata Sinha (2023). Computers in Biological, Agricultural, and Medical Sciences. LAP Lambert Academic Publishing ISBN: 978-620-6-76839-5

Book Chapters

1. Biswas R, Dey A, Puri R, Akermi S, Sahoo S, Panesar R, Jana C, Jayant S, Nigam A, Bernard J, Sinha S & Johari S (2022). Computational Intelligence-Based Cheminformatics Model as Cancer Therapeutics.In: Raza, K. (eds) Computational Intelligence in Oncology. Studies in Computational Intelligence, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-16-9221-5_20

2. Akermi S, Sahoo S, Panesar R, Bernard J, Dey A, Biswas S, Johari S, Sinha S, Jana C, Puri R, Tarika M, Jayant S & Nigam A (2022). Drug Response Prediction Using Machine Learning. In: Raza, K. (eds) Computational Intelligence in Oncology. Studies in Computational Intelligence, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-16-9221-5_20

3. Akermi S., Jayant S., Ghosh A., Sharma A., Sinha S., Johari S (2021).Viroinformatics for viral diseases: tools and databases. In K. Raza & N. Dey (Eds.). Translational Bioinformatics in Healthcare and Medicine (Vol. 13, pp. 171-181),Academic Press (Elsevier, SCOPUS Indexed)

4. Baishnab S., Sinha S., Ghosh A., Sharma A., Johari S (2021). Toxin Databases and Healthcare Applications. In K. Raza & N. Dey (Eds.). Translational Bioinformatics Applications in Healthcare (pp. 133-143). CRC Press (Taylor & Francis; SCOPUS Indexed)

5. Akermi S., Sinha S., Johari S., Jayant S, Nigam A (2021). Computational Intelligence Methods for the Diagnosis of COVID-19. In K.Raza (Ed.). Studies in Computational Intelligence: Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis (pp. 207-223). Springer Nature. (SCOPUS Indexed)

6. Ghosh A, Phukan T, Johari S, Sharma A, Vashista A, Sinha S(2020). Dynamics of Mycobacteriophage-Mycobacterial Host Interaction. Methods Mol Biol. 2020;2131:329-347.

7. Sharma A, Sinha S, Johari S, Mazumdar B. (2018). Bioinformatics and Pharmacogenomics: Tools to Understand and Accelerate Infectious Disease Control. In Y. Pathak (Ed.), Genomics Driven Health Care - Trends in Disease Prevention and Treatment (pp. 59-69). Tampa, FL : Springer Nature

Proceedings

1. Sinha S, Hazarika A, Johari S. (2019) Performance Evaluation of AI Based Load Balancing Algorithm (Reinforcement Learning) with other load balancing algorithms in a JPPF Grid: E.coli Genome Sequence Alignment Problem, Proceedings of IEEE International Conference on Bioinformatics and Systems Biology (BSB), 26-28 Oct. 2018. IIIT Allahabad. pp. 64-66. doi: 10.1109/BSB.2018.8770657

2. Gogoi D, Saikia R, Kalita J, Paul R, Pegu DK, Sinha S, Johari S(2019). Combining Virtual Screening, Molecular Docking and Simulation studies towards the discovery of β-secretase (BACE) inhibitors. Proceedings of IEEE International Conference on Bioinformatics and Systems Biology (BSB), Allahabad, India, 2018, pp. 103-107. doi: 10.1109/BSB.2018.8770645

3. Medhi SP, Sinha S, Singh YJ, Singh J (2014). A Competence Based Load Balancing Algorithm for HPC Enabled Bioinformatics Application", Proceedings of International Conference on Communication and Computing, June 12-14 2014, Elsevier Science and Technology Publications p. 372-378

4.Deka HJ, Johari S, Sinha S (2014). Molecular Interaction Studies of the Ligands found in Selaginella moellendroffi with EGFR - a CADD Approach in Search of Drugs for Non-Small Cell Lung Cancer, Interdisciplinary Approach to Biological Sciences Research and Sustainable Development, Department of Botany, Bahona College 2014, p. 299-314

5. Johari S, Dey P, Sharma A, Sinha S, Narain K, Barua NC (2013). Flux Balance Analysis: An In Silico Analysis Of Staphylococcus aureus Cell Wall Biosynthesis Pathway Metabolism, Proceedings of International Conference on Machine Intelligence and Research Advancement (ICMIRA), SMVDU, KATRA, 21-23 December 2013, p. 635-640

6. Sinha S, Das PS, Chakraborty S, Dutta P, Deori BP (2013). An open source library for Anesthesia - A package under Medi Java", Proceedings of IEEE Indian Conference on Medical Informatics and Telemedicine (ICMIT), 28-30 March, 2013 , IIT Kharagpur, p.33-38

7. Johari, S., Sinha, S., Sharma, S. (2011). Ligand binding studies for DPP IV a target protein responsible for Diabetes Mellitus Type 2: Structural based approach for drug designing. Proceedings of 2nd National Conference on Emerging Trends and Applications in Computer Science, 4th-5th March, 2011. St. Anthony's College, Shillong

8. Sinha S, Chakraborty S, Barman MP, Sahu A (2010). A Study on the performance of serial code on Shared Memory Parallel Architecture. Proceedings of IEEE International Conference on Parallel Distributed and Grid Computing, Oct 28-30, 2010. p 19-22

9. Sinha S (2008). Overall Operation of DNA Computers with Emphasis on Memory Operations, Proceedings of International Conference of Advanced Computing Technology GRIET, Hyderabad 26-27th December 2008, p. 544-549

Patents

Title of Patent: An Artificial Neural Network Model Based On Hydrophobicity And Net Charge For Detection Of Intrinsically Disordered Proteins And Regions. Patent Application No: 202131054384 A Date of Publication: 10/12/2021 International classification: G16B0015000000, C07K0001300000, G16B0040000000, C30B0007000000, C30B0029580000 Patent Office Journal Issue No.: 50/2021, P.No 60246

2. Title of Patent: A System of Deep Convolutional Neural Network and Method for Detecting Brain Tumour. Patent Application No: 202331001597 A Date of Publication: 13/01/2023 International Classification: G06K0009620000, G01R0033560000, G06N0003080000, A61B0005055000, G06N0003040000 Patent Office Journal Issue No.: 02/2021, P.No 2647

3. Title of Patent: Design, Development and Deployment of Deep Convolutional Neural Network Model for Rice Disease Detection. Patent Application No: 202331004483 A Date of Publication: 27/01/2023 International Classification: G06K0009620000, G06N0003080000, G06N0003040000, F16L0037098000, A61B0005110000 Patent Office Journal Issue No.: 04/202, P. No 6554

4. Title of Patent: A Deep Convolutional Neural Network Model for Detection of Disease in Potato Patent Application No: 202331008960 A Date of Publication: 17/02/2023 International Classification: G06K0009620000, G06N0003080000, G06N0003040000, F16L0037098000, C09D0179080000 Patent Office Journal Issue No.: 07/2023, P. No 11573

5. Title of Patent: A Deep Convolutional Neural Network Model for Detection of Disease in Wheat Patent Application No: 202331010591 A Date of Publication: 10/03/2023 International Classification: G0N 3/044 Patent Office Journal Issue No.: 10/2023, P. No 25192

6. Title of Patent: A Deep Convolutional Neural Network Model for Detection of Disease in Tea Plant Patent Application No: 202331061371 A Date of Publication: 08/12/2023 International Classification: G06K0009620000, G06N0003080000, G06N0003040000, F16L0037098000, C09D0179080000 Patent Office Journal Issue No.: 49/2023, P. No 86278