List of Journals

• Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference- Abhisek Bakshi, Souvik Sengupta, Rajat K. De and Abhijit Dasgupta. Expert Systems with Applications, vol. 259, pp. 125339, 2024 (Q1, IF 7.5 (2024)).DOI: https://doi.org/10.1016/j.eswa.2024.125339
• Identifying sex-specific serum patterns of Alzheimer's mice through deep TMT profiling and a concentration-dependent concatenation strategy - Kaushik Dey, Jay Yarbro, Danting Liu, Xian Han, Zhen Wang, Yun Jiao, Zhiping Wu, Shu Yang, DongGeun Lee, Abhijit Dasgupta, Zuo-Fei Yuan, Xusheng Wang, Liqin Zhu, Junmin Peng. Journal of Proteome Research, vol. 22, no. 12, pp. 3843-3853, 2023 (Q1, IF 4.4 (2023)).
  DOI: https://doi.org/10.1021/acs.jproteome.3c00496
• Epidemiological Challenges in Pandemic Coronavirus Disease (COVID-19): Role of Artificial Intelligence - Abhijit Dasgupta, Abhisek Bakshi, Srijani Mukherjee, Kuntal Das, Soumyajeet Talukdar, Pratyayee Chatterjee, Sagnik Mondal, Puspita Das, Subhrojit Ghosh, Archisman Som, Pritha Roy, Rima Kundu, Akash Sarkar, Arnab Biswas, Karnelia Paul, Sujit Basak, Krishnendu Manna, Chinmay Saha, Satinath Mukhopadhyay, Nitai P. Bhattacharyya, and Rajat K. De. WIREs Data Mining and Knowledge Discovery, 2022, e1462 (Q1, IF 7.8 (2023)). DOI: https://doi.org/10.1002/widm.1462.Preprint Version: https://www.preprints.org/manuscript/202005.0234/v1.
• Quality of Life, Sexual Health, and Associated Factors Among the Sexually Active Adults in a Metro City of India: An Inquiry During the COVID-19 Pandemic-Related Lockdown - Seshadri Sekhar Chatterjee, Ranjan Bhattacharyya, Amrita Chakraborty, Arista Lahiri, and Abhijit Dasgupta. Frontiers in Psychiatry, vol. 13, 2022, pp.791001 (Q1, IF 4.7 (2023)). DOI: 10.3389/fpsyt.2022.791001.
• A control theoretic three timescale model for analyzing energy management in mammalian cancer cells - Abhijit Dasgupta, Abhisek Bakshi, Nirmalya Chowdhury, and Rajat K. De. Computational and Structural Biotechnology Journal, vol. 19, pp. 477-508, 2021 (Q1, IF 6.0 (2023)). DOI: 10.1016/j.csbj.2020.12.019.
• Post-COVID-19 mental health service delivery in India: Potential role of artificial intelligence - Seshadri Sekhar Chatterjee, Abhijit Dasgupta, Abir Mukherjee, and Kaustav Chakraborty. Indian Journal of Social Psychiatry, vol. 37, no. 1, pp. 45, 2021 (Q4, IF 0.4 (2023)). DOI: 10.4103/ijsp.ijsp_248_20.
• Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG data - Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, and Rajat K. De. Fundamenta Informaticae, vol. 176, no. 2, pp. 141-166, 2020 (Q3, IF 0.8 (2023)). DOI: 10.3233/FI-2020-1968.
• Metabolic Pathway Engineering: Applications and Perspectives - Abhijit Dasgupta, Nirmalya Chowdhury, and Rajat K. De. Computer Methods and Programs in Biomedicine, vol. 192 (2020), pp. 105436, 2020 (Q1, IF 6.1 (2023)). DOI: 10.1016/j.cmpb.2020.105436.
• Catestatin improves insulin sensitivity by attenuating endoplasmic reticulum stress: experimental as well as a PID controller-based state-space model validation - Abhijit Dasgupta, Gautam K. Bandyopadhyay, Indrani Ray, Keya Bandyopadhyay, Nirmalya Chowdhury, Rajat K. De, and Sushil K. Mahata. Computational and Structural Biotechnology Journal, vol. 18, pp. 464-481, 2020 (Q1, IF 6.0 (2023)). DOI: 10.1016/j.csbj.2020.02.005.
• Computational neuroscience and neuroinformatics: Recent progress and resources - Losiana Nayak, Abhijit Dasgupta, Ritankar Das, Kuntal Ghosh, and Rajat K. De. Journal of Biosciences, vol. 43, no. 5, pp.1037-1054, 2018 (Q1, IF 2.9 (2023)). DOI: 10.1007/s12038-018-9813-y.
• Succinate aggravates NAFLD progression to liver cancer on the onset of obesity: An in-silico model - Indrani Ray, Abhijit Dasgupta, and Rajat K. De. Journal of Bioinformatics and Computational Biology, vol. 16, no.4, pp. 1850008(1)-1850008(15), 2018 (Q3, IF 1.0 (2023)). DOI: 10.1142/S0219720018500087.
• A fuzzy logic controller-based approach to model the switching mechanism of the mammalian central carbon metabolic pathway in normal and cancer cells - Abhijit Dasgupta, Debjyoti Paul, and Rajat K. De. Molecular Biosystems, vol. 12, no. 8, pp. 2490-2505, 2016 (Q1, IF 3.53 (2019)). DOI: 10.1039/c6mb00131a. (currently known as Molecular Omics)
• Exploring the Altered Dynamics of Mammalian Central Carbon Metabolic Pathway in Cancer Cells: A Classical Control Theoretic Approach - Debjyoti Paul, Abhijit Dasgupta, and Rajat K. De. PLoS One, vol.10, no. 9, e0137728, 2015 (Q1, IF 3.7 (2023)).DOI: 10.1371/journal.pone.0137728.

Book Chapters

• Artificial Intelligence in Systems Biology - Abhijit Dasgupta and Rajat K. De. in Handbook of Statistics, Elsevier, Volume 49, 2023, pp. 153-201. DOI: https://doi.org/10.1016/bs.host.2023.06.004. (Editors: Steven George Krantz, Arni S.R. Srinivasa Rao, C.R. Rao, and Naiza Ermin Mendoza.)
• Two-class in silico Categorization of Intermediate Epileptic EEG Data - Abhijit Dasgupta, Ritankar Das, Losiana Nayak, Ashis Dutta, and Rajat K. De. in Pattern Recognition and Machine Intelligence, Springer, 2019, pp. 184-192. DOI: 10.1007/978-3-030-34872-4_21. (Editors: Bhabesh Deka, Pradipta Maji, Sushmita Mitra, Dhruba Kumar Bhattacharyya, Prabin Kumar Bora, and Sankar K. Pal.)
• Feature Selection and Fuzzy Rule Mining for Epileptic Patients from Clinical EEG Data - Abhijit Dasgupta, Losiana Nayak, Ritankar Das, Debasis Basu, Preetam Chandra, and Rajat K. De. in Pattern Recognition and Machine Intelligence, Springer, 2017, pp. 87-95. DOI: 10.1007/978-3-319-69900-4 (Editors: B. Uma Shankar, Kuntal Ghosh, Deba Prasad Mandal, Shubhra Sankar Ray, David Zhang, and Sankar K. Pal.)

Selected Conference Papers, Abstracts, and Posters

• A protein turnover atlas across 15 mouse tissues established by DIA and TMT - Wenxue Li, Ka Yang, Abhijit Dasgupta, Junmin Peng, and Yansheng Liu. 71st ASMS (American Society for Mass Spectrometry) Conference on Mass Spectrometry and Allied Topics, June 04-08, 2023, Houston, USA.
• JUMP Software Suite (JUMPsuite): An Extensive and Modularized Toolbox for Proteomics and Metabolomics Data Analysis - Xusheng Wang, Zuo-Fei Yuan, Yingxue Fu, Suresh Poudel, Abhijit Dasgupta, Yuxin Li, Ji-Hoon Cho, Andy High, Vishwajeeth Pagala, Haiyan Tan, Ashutosh Mishra, Kiran Kodali, Suiping Zhou, Kaiwen Yu, Huan Sun, Junmin Peng. Knowledge In Data Science (KIDS23) Symposium, May 15-16, 2023, Memphis, USA.
• An In Silico Model Integrating Biochemical Pathways and Metabolomics Data - Abhijit Dasgupta, Ankita Dutta, Abhisek Bakshi, and Rajat K. De. EMBO | EMBL Symposium: Multiomics to Mechanisms -Challenges in Data Integration, September 11 –13, 2019, Heidelberg, Germany.
• Uncovering Altered Cell Cycle Dynamics in Human Cancer Cells by Integrating Biochemical Pathways and Transcriptomics Data - Abhijit Dasgupta, Abhisek Bakshi, and Rajat K. De. EMBO | EMBL Symposium: Multiomics to Mechanisms -Challenges in Data Integration, September 11 –13, 2019, Heidelberg, Germany.
• Analyzing epileptogenic brain connectivity networks using clinical EEG data - Abhijit Dasgupta, Ritankar Das, Losiana Nayak, and Rajat K. De. 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 815-821, IEEE, 2015. DOI: 10.1109/BIBM.2015.7359791.