Education:

1. Bachelor’s Degree : Hindu College, University of Delhi, 2007.
2. Master’s Degree : Department of Chemistry, University of Delhi, 2009.
3. Ph.D.: Department of Chemistry, University of Delhi, 2015.
4. Other:
   1. CSIR-UGC NET, 2008.
   2. GATE, 2008.
   3. University Teaching Assistantship, 2009-2013, Department of Chemistry, University of Delhi.
   4. DST-SRF, 2013-2015.
   5. DST-RA, 01.01.2016 – 22.05.2016.

Professional Experience:

1. Assistant Professor, NIT Meghalaya, 23.05.2016 – 07.07.2016.
2. Assistant Professor, Department of Chemistry, Dibrugarh University, 11.07.2016 – present.

Areas of Interest/ Specialization:

• In silico protein design.
• Application of machine learning/deep learning approaches to biophysics and chemistry
• Study of protein-ligand and protein-protein interaction
• Protein folding, misfolding, disorder, fold switch and allostery.
• Sequence Analysis.
• Coarse-grained Modelling and Potential Development.

Present Group Members:

1. Chimi Rekha Gogoi, PhD Scholar, 2018-present, Research Area: Machine learning and deep learning based identifictaion of protein sequence structure relationship and protein structure prediction
2. Bondeepa Saikia, PhD Scholar, 2019-present, Research Area: In silico protein design.
3. Aziza Rahman, PhD Scholar, 2019-present, Research Area: Investigation of protein-small molecule interaction through Molecular Dynamics simulation and Docking.
4. Anudhriti Boruah, PhD Scholar, 2024-present
5. Smita Patir, PhD Scholar, 2024-present

Research Publications:

1. Jhorna Borah, Arati Chetry, Anisha Pegu, Uddit Narayan Hazarika, Arobinda Kakoti, Pankaj Dutta, Anupaul Baruah, Prithiviraj Khakhlary, Nucleophilicity mediated interactions of ions with sensor: An anion induced BODIPY based chemodosimeter for sensing of CO2 gas, Journal of Photochemistry and Photobiology A: Chemistry, 452, 115623, 2024. (IF 2022: 4.3)
2. Nishi Gandha Gogoi, Aziza Rahman, Pankaj Dutta, Jiban Saikia, Anupaul Baruah, Jyotirekha G. Handique, Design, synthesis, biological evaluation and in silico studies of curcumin pyrrole conjugates, Chemistry and Biodiversity, 2024 (Manuscript Accepted for Publication). (IF 2022: 2.9)
3. Bondeepa Saikia, and Anupaul Baruah, In silico design of misfolding resistant proteins: the role of structural aspect of competing conformational ensemble for optimization of frustration, Soft Matter, 2024 (Manuscript Accepted for Publication). (IF 2022: 3.4)
4. Bondeepa Saikia, and Anupaul Baruah, Recent advances in de novo Computational Design and Redesign of Intrinsically Disordered Proteins and Intrinsically Disordered Protein Regions, Archives of Biochemistry and Biophysics, 752, 109857, 2024. (IF 2022: 3.9)
5. Aziza Rahman, Bondeepa Saikia, and Anupaul Baruah, In silico Analysis of SOD1 Aggregation Inhibition Modes of Tertiary Amine Pyrazolone and Pyrano Coumarin Ferulate as ALS drug candidates, Physical Chemistry Chemical Physics, 25, 26833, 2023. (IF 2022: 3.3)
6. Chimi Rekha Gogoi, Aziza Rahman, Bondeepa Saikia, and Anupaul Baruah, Protein Dihedral Angle Prediction: The State of the Art, ChemistrySelect, 8, e202203427, 2023. (IF 2022: 2.1)
7. Jhorna Borah, Aziza Rahman, Anupaul Baruah, Pankaj Dutta, Prithiviraj Khakhlary, 8-Hydroxyquinoline-BODIPY based dual mode pH probe: Intuits acidic and basic environments through two different mechanisms, Journal of Photochemistry and Photobiology A: Chemistry, 437, 114423, 2023. (IF 2022: 4.3)
8. Nishi Gandha Gogoi, Aziza Rahman, Jiban Saikia, Pankaj Dutta, Anupaul Baruah, Jyotirekha G. Handique, Enhanced biological activity of Curcumin Cinnamates: an experimental and computational analysis, Medicinal Chemistry Research, 31,2195-2208 (2022). (IF 2022: 2.6)
9. Aziza Rahman, Bondeepa Saikia, Chimi Rekha Gogoi and Anupaul Baruah, Advances in the understanding of protein misfolding and aggregation through molecular dynamics simulation, Progress in Biophysics and Molecular Biology, 175, 31-48 (2022). (IF 2022: 3.8)
10. Bondeepa Saikia, Chimi Rekha Gogoi, Aziza Rahman and Anupaul Baruah, Identification of an Optimal Foldability Criterion to Design Misfolding Resistant Protein, Journal of Chemical Physics, 155, 144102 (2021). (IF 2022: 4.4)
11. Adesh Kumar, Anupaul Baruah and Parbati Biswas, Role of local and nonlocal interactions in folding and misfolding of globular proteins, Journal of Chemical Physics, 146, 065102 (2017). (IF 2022: 4.4)
12. Anupaul Baruah and Parbati Biswas, Globular-Disorder transition in proteins: A compromise between hydrophobic and electrostatic interactions?, Physical Chemistry Chemical Physics, 18, 23207 (2016). (IF 2022: 3.3)
13. Anupaul Baruah, Pooja Rani and Parbati Biswas, Conformational Entropy of Intrinsically Disordered Proteins from Amino Acid Triads, Scientific Reports, 5, 11740 (2015). (IF 2022: 4.6)
14. Anupaul Baruah and Parbati Biswas, Designing pH Induced Fold Switch in Proteins, Journal of Chemical Physics, 142, 185102 (2015). (IF 2022: 4.4)
15. Pooja Rani, Anupaul Baruah and Parbati Biswas, Does Lack of Secondary Structure in Proteins Imply Intrinsic Disorder in Proteins? A Sequence Analysis, BBA Proteins and Proteomics, 1844, 1827 (2014). (IF 2022: 3.2)
16. Anupaul Baruah and Parbati Biswas, The Role of Site Directed Point Mutations in Protein Misfolding, Physical Chemistry Chemical Physics, 16, 13964 (2014). (IF 2022: 3.3)
17. Anupaul Baruah and Parbati Biswas, Designing Sequences with Varied Flexibility and Stability through Pair Mutations, RSC Advances, 4, 8031 (2014). (IF 2022: 3.9)
18. Anupaul Baruah, Arnab Bhattacherjee and Parbati Biswas, Role of Conformational Heterogeneity on Protein Misfolding, Soft Matter, 8, 4432 2012). (IF 2022: 3.4)

1. Quantum Chemistry (Course: Core 103, M.Sc Chemistry 1st Semester)
2. Statistical Thermodynamics (Course: Core 203, M.Sc Chemistry 2nd Semester)
3. Chemical Kinetics and Reaction Dynamics (Course: Core 303, M.Sc Chemistry 3rd Semester)
4. Advanced Statistical Mechanics (Course: Core 406, M.Sc Chemistry 4th Semester)
5. Research Methodology (Course: Core 407, M.Sc Chemistry 4th Semester)

1. DST-SERB CRG project: Development of a Generalized in silico Protein Design Method Based on a Combined Machine Learning and Monte Carlo Simulation Approach, Duration: 2024-2027. Sanctioned Amount: INR 37.69 Lakhs
2. DST-SERB ECRA project: Identification of an Optimized Foldability Criterion for Computational Protein Design against Misfolding. Duration: 2018-2022. Sanctioned Amount: INR 27.01 Lakhs
3. UGC-BSR Start-up Grant: Protein Structure Prediction Based on Tripeptide and Pentapeptide Sequence Segment Information. Duration: 2018-2020. Sanctioned Amount: INR 10.00 Lakhs