Back to Home
Research Publications
101. DreamWeb: An Online Tool for Graph-Based Modeling of NMR Protein Structure. Niladri Ranjan Das, Kunal Narayan Chaudhury, and Debnath Pal. Proteomics, , IN PRESS (2024). DOI: 10.1002/pmic.202300379
100. CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods. Shantanu Jain, Constantina Bakolitsa, Steven E. Brenner, Predrag Radivojac, ... Debnath Pal et al. Genome Biology, 25:53, 1-46 (2024). DOI: 10.1186/s13059-023-03113-6
99. Detection of intrinsic transcription termination sites in bacteria: consensus from hairpin detection approaches. Swati Gupta, and Debnath Pal. Journal of Biomolecular Structure and Dynamics, 1-11 (2024). DOI:10.1080/07391102.2024.2325107
98. Identification of Potential Oral Cancer Drugs as Bcl-2 Inhibitors from Known Anti-Neoplastic Agents Through Docking Studies. Chandan Raychaudhury, Shreyaa Srinivasan, and Debnath Pal. Journal of Mathematical Chemistry (Special issue “Recent Advances in Mathematical and Theoretical Chemistry), 62317-329 (2024). DOI:10.1007/s10910-023-01537-w
97. Dynamics of a single-strain and two-strain respiratory infectiondriven by travel on a metapopulation network. Indrajit Ghosh, Sk Shahid Nadim, Soumyendu and Debnath Pal. Nonlinear Dynamics, 111, 21371-21389 (2023). DOI:10.1007/s11071-023-08952-3
96. INTERPIN: a repository for intrinsic transcription termination hairpins in bacteria. Swati Gupta, Namrata Padmashali and Debnath Pal. Biochemie, 214B, 228-236 (2023). DOI:10.1016/j.biochi.2023.07.018
95. Intrinsic Proclivity of Left-Handed Conformation in Large Nest Motif Peptides Inferred from Molecular Dynamics. Subhankar Sahu, Raja Banerjee and Debnath Pal. Journal of Biomolecular Structure and Dynamics, IN PRESS (2023). DOI:10.1080/07391102.2023.2236710
94. A Pathway Model of Glucose-Stimulated Insulin Secretion in the Pancreatic Cell. Deepa Maheshvare M., Soumyendu Raha, Matthias König and Debnath Pal. Frontiers in Endocrinology - Systems Endocrinology, IN PRESS (2023). DOI: 10.3389%2Ffendo.2023.1185656
93. Quaternary structure analysis of IRE1. Samirul Bashir, Debnath Pal , Ozaira Qadri, Mariam Banday, and Khalid Fazili. MicroPubl Biol., 1-3 (2023). DOI: 10.17912/micropub.biology.000763
92. The Bcl-2 family protein Bid interacts with the ER stress sensor IRE1 to differentially modulate its RNase activity. Samirul Bashir, Mariam Banday, Ozaira Qadri, Debnath Pal , Arif Bashir, Nazia Hilal, Mohammad Altaf and Khalid Majid Fazili. FEBS Letters, (2023). DOI: 10.1002/1873-3468.14593
91. Proline-Proline dyad in the Fusion Peptide in the S2 Domain of the Spike Protein of Murine β–Coronaviruses Synchronizes Differential Neuroglial Tropism in the CNS. Abass Alao Safiriyu, Vaishali Mulchandani, Mohammed Nahaf Anakkacheri, Debnath Pal , Jayasri Das Sarma. Viruses, 15:215, 1-30 (2023). DOI: 10.3390/v15010215
90. Investigation of protein-ligand binding motions through protein conformational morphing and clustering of cytochrome bc1-aa3 super complex. Sindhs Thangaraj, Rajamanikandan Sundaraj, Jeyakanthan Jeyaraman and Debnath Pal . Journal of Molecular Graphics and Modelling, 118:108347, 1-8 (2023). DOI: 10.1016/j.jmgm.2022.108347
89. Improved NMR-data-compliant protein structure modeling captures context-dependent variations and expands the scope of functional inference. Niladri Ranjan Das, Kunal Narayan Chaudhury and Debnath Pal Proteins: Structure, Function, and Bioinformatics. 91 412-435 (2023). DOI: 10.1002/prot.26439
88. Molecular spectroscopic and docking analysis of the interaction of fluorescent thiadicarbocyanine dye with biomolecule bovine serum albumin. Umesha Katrahalli, Shanker Govindaswamy, Debnath Pal , Manjunatha DH. Journal of Biomolecular Structure and Dynamics, 1-11 (2022). DOI: 10.1080/07391102.2022.2158135
87. MD DaVis: Interactive Data Visualization of Protein Molecular Dynamics. Dibyajyoti Maity and Debnath Pal . Bioinformatics, 38, 3299-3301 (2022). DOI: 10.1093/bioinformatics/btac314
86. Two consecutive prolines in the fusion peptide of murine β-coronavirus Spike protein predominantly determine fusogenicity and may be essential but not sufficient to cause demyelination. Abass Alao Safiriyu, Manmeet Singh, Abhinoy Kishore, Vaishali Mulchandani, Dibyajyoti Maity, Amrutamaya Behera, Bidisha Sinha, Debnath Pal , Jayasri Das Sarma . Viruses, 14:834 1-27 (2022). DOI: 10.3390/v14040834
85. Somatic mutation analyses of stem-like cells in gingivobuccal oral squamous cell carcinoma reveals DNA damage response genes. Sachendra Kumar, Annapoorni Rangarajan, and Debnath Pal . Genomics, 114:110308 1-10 (2022). DOI: 10.1016/j.ygeno.2022.110308
84. Azadirachta indica A. Juss bark extract and its Nimbin isomers restrict β-coronaviral infection and replication. Lucky Sarkar, Lauren Oko, Soham Gupta, Andrew Bubak, Bishnu Das, Parna Gupta, Abass Alao Safiriyu, Chirag Singhal, Ujjwal Neogi, David Bloom, Arup Banerjee, Ravi Mahalingam, Randall Cohrs, Michael Koval, Kenneth S. Shindler, Debnath Pal , Maria Nagel, and Jayasri Das Sarma. Virology, 569 13-28 (2022). DOI: 10.1016/j.virol.2022.01.002
83. A graph-based framework for multi-scale modeling of physiological transport. Deepa Maheshvare M., Soumyendu Raha and Debnath Pal . Frontiers in Network Physiology, 1, ISSN=2674-0109 (2022). DOI:10.3389/fnetp.2021.802881 BIORXIV
82. Network-based identification of miRNAs and transcription factors and in silico drug screening targeting δ-secretase involved in Alzheimer’s disease. Saleem Iqbal, Md. Zubbair Malik and Debnath Pal . Heliyon, 7:e08502, 1-11 (2021). DOI: 10.1016/j.heliyon.2021.e08502
81. Sustained AMPK activation and proline metabolism play critical roles in the survival of matrix-deprived transformed cells. Manipa Saha, Neha Deshpande, Abhinav Dubey, Debnath Pal , Hanudatta S. Atreya and Annapoorni Rangarajan . Frontiers in Cell and Developmental Biology, 9:771366, 1-12 (2021). DOI: 10.3389/fcell.2021.771366
80. Molecular Dynamics of Hemoglobin Reveals Structural Alterations and Explains the Interactions Driving Sickle Cell Fibrillation. Dibyajyoti Maity and Debnath Pal . The Journal of Physical Chemistry B, 125, 9921-9933 (2021). DOI: 10.1021/acs.jpcb.1c01684
79. Cytochrome bc1-aa3 oxidase supercomplex as emerging and potential drug target against tuberculosis. Sindhu Thangaraj and Debnath Pal . Current Molecular Pharmacology, 15380-392 (2022). DOI: 10.2174/1874467214666210928152512
78. DJ-1-Nrf2 axis is activated upon murine β-coronavirus infection in the CNS. Soumya Kundu, Fareeha Saadi, Sourodip Sengupta, Gisha Rose Antony, Vineeth A. Raveendran, Rahul Kumar, Mithila Ashok Kamble, Lucky Sarkar, Amy Burrows, Debnath Pal , Ganes C. Sen, and Jayasri Das Sarma . Journal of Brain Disorders, 4:100021, 1-10 (2021). DOI: 10.1016/j.dscb.2021.100021
77. Clusters of hairpins induce intrinsic transcription termination in bacteria. Swati Gupta and Debnath Pal . Scientific Reports, 11:16194, 1-18 (2021). DOI: 10.1038/s41598-021-95435-3
76. Exo-selective intermolecular Diels-Alder reaction by PyrI4 and AbnU on non-natural substrates. Rajnandani Kashyap, Naga Veera Yerra, Joachyutharayalu Oja, Sandeepchowdary Bala, Gal Reddy Potuganti, Jagadeshwar Reddy Thota, Manjula Alla, Debnath Pal and Anthony Addlagatta . Communications Chemistry, 4:113, 1-9 (2021). DOI: 10.1038/s42004-021-00552-9
75. A computational framework for modeling functional protein-protein interactions. Abantika Pal, Debnath Pal and Pralay Mitra . Protein: Structure, Function, and Bioinformatics, 89, 1353-1364 (2021). DOI:10.1002/prot.26156
74. Inferring Metal Binding Sites in Flexible Regions of Proteins. Aditi Garg and Debnath Pal . Protein: Structure, Function, and Bioinformatics, 89, 1125-1133 (2021). DOI: 10.1002/prot.26085
73. Spike glycoprotein is central to Coronavirus pathogenesis - parallel between m-CoV and SARS-CoV-2. Fareeha Saadi, Debnath Pal and Jayasri Das Sarma. Annals of Neurosciences, 1023755, 1-17 (2021). DOI: 10.1177/09727531211023755
72. Spike protein fusion loop controls SARS-CoV-2 fusogenicity and infectivity. Debnath Pal. Journal of Structural Biology, 213:107713, 1-10 (2021). DOI: 10.1016/j.jsb.2021.107713 BioaRxiv
71. New Facets of Larger Nest Motifs in Proteins. Debnath Pal, Subhankar Sahu and Raja Banerjee. Proteins: Structure, Function, and Bioinformatics, 88, 1413-1422 (2020). DOI: 10.1002/prot.25961
70. Aggregation of M3 (E376D) variant of alpha1 antitrypsin. Arif Bashir, Younis Hazari, Debnath Pal, Dibyajyoti Maity, Samirul Bashir, Laishram Singh, Naveed Shah and Khalid Fazili . Scientific Reports, 10:8290, 1-13 (2020). DOI:10.1038/s41598-020-64860-1
69. Usefulness of Graph Vertex Complexity and Class Partial Information Content in Explaining Gas Phase Thermal Entropy of Chemical Compounds. Chandan Raychaudhury and Debnath Pal . Journal of Mathematical Chemistry, 51, 2718-2730 (2020). DOI: 10.1007/s10910-020-01118-1
68. Towards Accelerated Genome Informatics on Parallel HPC Platforms: The ReneGENE-GI Perspective. Santhi Natarajan, Krishnakuman N., Debnath Pal and S. K. Nandy. Journal of Signal Processing Systems, 92, 1197-1213 (2020). DOI:10.1007/s11265-019-01452-x
67. Structural analysis of glutathionyl hemoglobin using native mass spectrometry. Monita Muralidharan, Amrita Mitra, Dibyajyoti Maity, Debnath Pal, Amit K. Mandal. Journal of Structural Biology, 208:107386, 1-8 (2019). DOI: 10.1016/j.jsb.2019.09.003
66. Assessing predictions on fitness effects of missense variants in calmodulin. Jing Zhang, Lisa N. Kinch, Qian Cong, Panagiotis Katsonis, Olivier Lichtarge, Emidio Capriotti, Rita Casadio, Debnath Pal , Jochen Weile, Song Sun, Atina G Cote, Frederick P. Roth and Nick V. Grishin. Human Mutation Variation, Informatics, and Disease, 40, 1463-1473 (2019). DOI:10.1002/humu.23857
65. Assessing the performance of in-silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer. Alin Voskanian, Panagiotis Katsonis, Olivier Lichtarge, Vikas Pejaver, Predrag Radivojac, Sean D. Mooney, Emidio Capriotti, Yana Bromberg, Yanran Wang, Max Miller, Pier Luigi Martelli, Castrense Savojardo, Giulia Babbi, Rita Casadio, Yue Cao, Yuanfei Sun, Yang Shen, Aditi Garg, Debnath Pal , Yao Yu, Chad D. Huff, Sean V. Tavtigian, Erin Young, Susan L. Neuhausen, Elad Ziv, Lipika R. Pal, Gaia Andreoletti, Steven Brenner, John Moult, Maricel G. Kann. Human Mutation Variation, Informatics, and Disease, 40, 1612-1622 (2019). DOI:10.1002/humu.23849
64. Evaluating the predictions of the protein stability change upon single amino acid substitutions for the FXN CAGI5 challenge. Castrense Savojardo, Maria Petrosino, Giulia Babbi, Samuele Bovo, Carles Corbi-Verge, Rita Casadio, Piero Fariselli, Lukas Folkman, Aditi Garg, Mostafa Karimi, Panagiotis Katsonis, Philip M. Kim, Olivier Lichtarge, Pier Luigi Martelli, Alessandra Pasquo, Debnath Pal , Yang Shen, Alexey V. Strokach, Paola Turina, Yaoqi Zhou, Gaia Andreoletti, Roberta Chiaraluce, Valerio Consalvi and Emidio Capriotti. Human Mutation Variation, Informatics, and Disease, 40, 1392-1399 (2019). DOI:10.1002/humu.23843
63. Predicting Gas Phase Entropy of Select Hydrocarbon Classes Through Specific Information Theoretical Molecular Descriptors. Chandan Raychaudhury, Md. Imbesat Hassan Rizvi and Debnath Pal. SAR and QSAR in Environmental Research, 30, 491-505 (2019). DOI: 10.1080/1062936X.2019.1624613
62. Exploring the use of molecular dynamics in assessing protein variants for phenotypic alterations. Aditi Garg and Debnath Pal. Human Mutation Variation, Informatics, and Disease, 40, 1424-1435 (2019). DOI: 10.1002/humu.23800
61. A proline insertion-deletion in the spike glycoprotein fusion peptide of mouse hepatitis virus strongly alters neuropathology. Manmeet Singh, Abhinoy Kishore, Dibyajyoti Maity, Punnepalli Sunanda, Bankala Krishnarjuna, Sreeparna Vappala, Srinivasarao Raghothama, Lawrence C. Kenyon, Debnath Pal and Jayasri Das Sarma. Journal of Biological Chemistry, 294, 8064-8087 (2019). DOI: 10.1074/jbc.RA118.004418
60. Serum biomarkers identification by iTRAQ and verification by MRM: S100A8/S100A9 levels predict tumor-stroma involvement and prognosis in glioblastoma. Anjali Arora, Vikas Patil, Paramita Kundu, Patutu Kondaiah, Alangar S. Hegde, Arimappamagan Arivazhagan, Vani Santosh, Debnath Pal and Kumaravel Somasundaram. Scientific Reports, 9:2749, 1-12 (2019). DOI: 10.1038/s41598-019-39067-8
59. Interaction of Arsenic with Gap Junction Protein Connexin 43 Alters Gap Junctional Intercellular Communication. Afaq Hussain, Subhajit Das Sarma, Swathy Babu, Debnath Pal, and Jayasri Das Sarma. BBA - Molecular Cell Research, 65, 1423-1436 (2018). DOI: 10.1016/j.bbamcr.2018.07.014.
58. Molecular insights of inhibition in sickle hemoglobin polymerization upon glutathionylation: hydrogen/deuterium exchange mass spectrometry and molecular dynamics simulation based approach. Rajdeep Das, Amrita Mitra, Gopa Mitra, Dibyajyoti Maity, Vijay Bhat, Debnath Pal, Cecil Ross, Anura V. Kurpad and Amit Kumar Mandal. Biochemical Journal, 475, 2153-2166 (2018). DOI: 10.1042/BCJ20180306. Cover Page Article
57. Combinatorial Design of Molecule using Activity-Linked Substructural Topological Information as Applied to Antitubercular Compounds. Chandan Raychaudhury, Md. Imbesat Hassan Rizvi and Debnath Pal. Current Computer Aided Drug Design, 15, 67-81 (2018). DOI: 10.2174/1573409914666180509152711
56. Ebolavirus interferon antagonists—protein interaction perspectives to combat pathogenesis. Anupam Banerjee, Abantika Pal, Debnath Pal and Pralay Mitra. Briefings in Functional Genomics, 17 , 392-401 (2017). DOI: 10.1093/bfgp/elx034
55. Assessment of Adaptive Breast Cancer Screening Policies for Improved Mortality Reduction in Low to Middle Income Countries. Baban Wagh, Ramesh Chaluvarayaswamy and Debnath Pal. Asian Pacific Journal of Cancer Prevention 18 , 2375-2380 (2017). DOI: 10.22034/APJCP.2017.18.9.2375
54. Molecular dynamics information improves cis-peptide based function annotation of proteins. Sreetama Das, Pratiti Bhadra, S. Ramakumar and Debnath Pal. Journal of Proteome Research, 16, 2936-2946 (2017). DOI: 10.1021/acs.jproteome.7b00217
53. Numerical Simulation of a Glucose Sensitive Composite Membrane Closed-Loop Insulin Delivery System. Shashi Bajaj Mukherjee, Debabrata Datta, Soumyendu Raha and Debnath Pal. Bioprocess and Biosystems Engineering 40, 1453-1462 (2017). DOI: 10.1007/s00449-017-1803-1
52. Pipeline for inferring protein function from dynamics using coarse-grained molecular mechanics forcefield. Pratiti Bhadra and Debnath Pal. Comput. Biol. Med. 83, 134-142 (2017). DOI: 10.1016/j.compbiomed.2017.02.009
51. Computational design of model scaffold for anion recognition based on the 'CαNN' motif. Tridip Sheet, Suvankar Ghosh, Debnath Pal and Raja Banerjee. Peptide Science, 108:e22921, 1-15 (2017). DOI: 10.1002/bip.22921
50. Mass Spectrometry-Based Diagnosis of Hemoglobinopathies: A Potential Tool for the Screening of Genetic Disorder. Rajdeep Das, Gopa Mitra, Boby Mathew, Vijay Bhat, Cecil Ross, Debnath Pal and Amit Mandal. Biochemical Genetics, 54, 816-825 (2016). DOI: 10.1007/s10528-016-9758-5"
49. Unique Functional Role of C-H...S Hydrogen Bond in Substrate Specificity and Enzyme Catalysis of Type 1 Methionine Aminopeptidase. Ravikumar Reddi, Kiran Singarapu, Debnath Pal and Anthony Addlagatta. Molecular Biosystems, 12, 2408-2416 (2016). DOI: 10.1039/C6MB00259E
48. Bacterial Siderophore Mimicking Iron Complexes as DNA Targeting Antimicrobials. Sunil Kumar Boda, Subhendu Pandit, Aditya Garai, Debnath Pal and Bikramjit Basu. RSC Advances, 6, 39245-39260 (2016). DOI: 10.1039/C6RA02603F
47. Chemical Shifts to Metabolic Pathways: Identifying Metabolic Pathways Directly from a Single 2D NMR Spectrum. Abhinav Dubey, Annapoorni Rangarajan, Debnath Pal and Hanudatta Sastry Atreya. Analytical Chemistry, 87, 12197-12205 (2015). DOI: 10.1021/acs.analchem.5b03082
46. Mass spectrometry based characterization of Hb Beckman variant in a falsely elevated HbA1c sample. Rajdeep Das, Monita Muralidharan, Gopa Mitra, Vijay Bhat, Boby Mathew, Debnath Pal , Cecil Ross and Amit Mandal. Analytical Biochemistry, 489, 53-58 (2015). DOI: 10.1016/j.ab.2015.07.010
45. A pattern recognition based approach for identifying metabolites in NMR based metabolomics. Abhinav Dubey, Annapoorni Rangarajan, Debnath Pal and Hanudatta Sastry Atreya. Analytical Chemistry, 87, 7148-7155 (2015). DOI: 10.1021/acs.analchem.5b00990
44. Identifying functionally important cis-peptide containing segments in proteins and their utility in molecular function annotation. Sreetama Das, Suryanarayanrao Ramakumar and Debnath Pal. FEBS Journal, 281, 5602-5621 (2014). DOI: 10.1111/febs.13100
43. Avoiding acidic region streaking in two-dimensional gel electrophoresis: case study with two bacterial whole cell protein extracts. Arnab Roy, Umesh Varshney and Debnath Pal. Journal of Biosciences, 39, 631-642 (2014). DOI: 10.1007/s12038-014-9453-9; PDF Supplementary Material
42. De novo inference of protein function from coarse-grained dynamics. Pratiti Bhadra and Debnath Pal. Proteins: Structure, Function and Bioinformatics, 82, 2443-2454 (2014). DOI: 10.1002/prot.24609
41. Two New Atom Centered Fragment Descriptors and Scoring Function Enhance Classification of Antibacterial Activity. Durga Datta Kandel, Chandan Raychaudhury and Debnath Pal. Journal of Molecular Modeling, 20, 2164 (2014) DOI: 10.1007/s00894-014-2164-1
40. Role of Vertex Index in Substructure Identification and Activity Prediction: A Study on Antitubercular Activity of a Series of Acid Alkyl Ester Derivatives. Chandan Raychaudhury, Durga Datta Kandel and Debnath Pal. Croatica Chimica Acta, 87, 39-47 (2014). DOI: 10.5562/cca2306 (Invited article on the occasion of 70th birthday of Prof. Douglas J. Klein) PDF
39. Information content of molecular graph and prediction of gas phase thermal entropy of organic compounds. Chandan Raychaudhury and Debnath Pal. Journal of Mathematical Chemistry, 51, 2718-2730 (2013). DOI: 10.1007/s10910-013-0233-9
38. Use of vertex index in structure-activity analysis and design of molecules. Chandan Raychaudhury and Debnath Pal. Current Computer Aided Drug Design, 8,128-134 (2012). DOI: 10.2174/157340912800492410
37. PRUNE and PROBE - two modular web services for protein-protein docking . Pralay Mitra and Debnath Pal. Nucleic Acids Research, 39, W229-W234 (Webserver Issue, 2011). DOI: https://doi.org/10.1093/nar/gkr317 PDF   PRUNE  PROBE
36. Combining Bayes classification and point group symmetry under Boolean framework for enhanced protein quaternary structure inference. Pralay Mitra and Debnath Pal. Structure 19, 304-312 (2011). DOI: 10.1016/j.str.2011.01.009 Link  IPAC, Among Top 10 Downloads
35. WebGeSTer DB - a transcription terminator database. Anirban Mitra, Anil K. Kesarwani, Debnath Pal and Valakunja Nagaraja. Nucleic Acids Research 39, D129-D135 (Database Issue, 2011). DOI: https://doi.org/10.1093/nar/gkq971 PDF   WebGeSTer and WebGeSTer DB
34. Using correlated parameters for improved ranking of protein-protein docking decoys. Pralay Mitra and Debnath Pal. Journal of Computational Chemistry 32, 787-796 (2011). DOI: 10.1002/jcc.21657 PDF
33. dockYard - a repository to assist modeling of protein-protein docking. Pralay Mitra and Debnath Pal. Journal of Molecular Modeling 17, 599-606 (2011). DOI: 10.1007/s00894-010-0758-9 Link DockYard Server
32. New measures for estimating surface complementarity and packing at protein-protein interfaces. Pralay Mitra and Debnath Pal. FEBS Letters 584, 1163-1168 (2010). DOI: 10.1016/j.febslet.2010.02.021 Link   Download Software
31. Interface of apoptotic protein complexes has distinct properties. Pralay Mitra, Riddhiman Dhar and Debnath Pal. In Silico Biol. 9, 365-378 (2009). DOI: 10.3233/ISB-2009-0411 Link or PDF
30. Inferring molecular function: contributions from functional linkages. Arturo Medrano-Soto, Debnath Pal and David Eisenberg. Trends in Genetics 24, 587-590 (2008). DOI: 10.1016/j.tig.2008.10.001 Link
29. Functionally important segments in proteins dissected using Gene Ontology and geometric clustering of peptide fragments. K. Manikandan, Debnath Pal, S. Ramakumar, Nathan E Brener, Seetharama Iyenger, Guna Seetharaman. Genome Biology, 9:R52, 1-18 (2008). DOI: 10.1186/gb-2008-9-3-r52 PDF | Cover Page
28. The Saccharomyces cerevisiae Hop1 protein zinc finger motif binds to the Holliday junction and distorts the DNA structure: implications for Holliday junction migration. Pankaj Tripathy, Debnath Pal and Kalappa Muniyappa. Biochemistry 46, 12530-12542 (2007). DOI: 10.1021/bi701078v Link
27. Functional Linkages can Reveal Protein Complexes for Structure Determination. Sul-Min Kim, Peter M. Bowers, Debnath Pal , Michael Strong, Thomas C. Terwilliger, Markus Kaufmann and David Eisenberg. Structure 15, 1079-1089 (2007). DOI: 10.1016/j.str.2007.06.021 Link
26. On Gene Ontology and Function Annotation. Debnath Pal. Bioinformation 1, 97-98 (2006). PDF
25. Inference of protein function from protein structure. Debnath Pal and David Eisenberg. Structure 13, 121-130 (2005). DOI: 10.1016/j.str.2004.10.015 (http://proknow.mbi.ucla.edu/) (Focus Article) (Among Top 20 Downloads at Structure until April 2005) PDF
24. Disulfide bonds, their stereospecific environment and conservation in protein structures. Rajasri Bhattacharyya, Debnath Pal and Pinak Chakrabarti. Protein Engineering Design and Selection 17, 795-808 (2004). DOI: 10.1093/protein/gzh093 PDF
23. New principles of protein structure: nest, eggs and what next? Debnath Pal , Juergen Suehnel and Manfred S. Weiss. Angewandte Chemie 41, 4663-4665(2002). DOI: 10.1002/anie.200290009 PDF
22. Secondary structures at polypeptide-chain termini and their features. Rajasri Bhattacharyya, Debnath Pal and Pinak Chakrabarti. Acta Crystallographica D 58, 1793-1802(2002). DOI: 10.1107/S0907444902013069 PDF
21. An overview on 2-methyl-2,4-pentanediol in crystallization and in crystals of biological macromolecules. Kanchan Anand, Debnath Pal and Rolf Hilgenfeld. Proceedings of the ICCBM9 conference, Acta Crystallographica D Supplement 58, 1722-1728 (2002). DOI: 10.1107/S0907444902014610 PDF
20. Silver(I) oxide-silver halide mediated alcoholysis of O-benzoyl-myo-inositol 1,3,5-orthoformates: intramolecular assistance by sulfonyl group. Thoniyot Praveen, Tanya Das, Kana M. Sureshan, Mysore S. Shashidhar, Uttamkumar Samanta, Debnath Pal and Pinak Chakrabarti. Journal of the Chemical Society, Perkin Transactions 2 358-365 (2002). DOI: 10.1039/B101476P PDF
19. On residues in the the disallowed region of the Ramachandran map. Debnath Pal and Pinak Chakrabarti. Biopolymers 63, 195-206 (2002). DOI: 10.1002/bip.10051 PDF
18. Conformational properties of ?-tubulin tail peptide: implications for tail-body interaction. Debnath Pal , Pradip Mahapatra, Tapas Manna, Pinak Chakrabarti, Bhabatarak Bhattacharyya, Anirban Banerjee, Gautam Basu and Siddhartha Roy. Biochemistry 40, 15512-15519 (2001). DOI: 10.1021/bi015677t PDF
17. More hydrogen bonds for the (structural) biologist. Manfred S. Weiss, Maria Brandl, Jurgen S nhel, Debnath Pal and Rolf Hilgenfeld. Trends in Biochemical Sciences 26, 521-523 (2001). DOI: 10.1016/S0968-0004(01)01935-1 PDF
16. Non-hydrogen bond interactions involving the methionine sulfur atom. Debnath Pal and Pinak Chakrabarti. Journal of Biomolecular Structure and Dynamics 19, 115-128 (2001). DOI: 10.1080/07391102.2001.10506725 PDF   Fig2a and Fig2b   Fig2c  Fig2d  Fig4a  Fig6a and Fig6b   Fig6c   Fig6d  
15. Interrelationships of side-chain and main-chain conformations in proteins. Pinak Chakrabarti and Debnath Pal . Progress in Biophysics and Molecular Biology 76, 1-102 (2001). DOI: 10.1016/S0079-6107(01)00005-0 PDF
14. Conformational similarity indices between different residues in proteins and a-helix propensities. Debnath Pal and Pinak Chakrabarti. Journal of Biomolecular Structure and Dynamics 18, 273-280 (2000). DOI: 10.1080/07391102.2000.10506665 PDF
13. b-sheet propensity and its correlation with parameters based on conformation. Debnath Pal and Pinak Chakrabarti. Acta Crystallographica D56, 589-594 (2000). DOI: 10.1107/S090744490000367X PDF
12. Synthesis of 11b-(4-dimethylaminophenyl)-17b-hydroxy-17a-(3-methyl-1-butynyl)-4,9-estradien-3-one and 11b-(4-acetophenyl)-17b-hydroxy-17a-(3-methyl-1-butynyl)-4,9-estradien-3-one: Two new analogues of mifepristone (RU-486). Braja G. Hazra, Sourav Basu, Vandana S. Pore, Padmaker L. Joshi, Debnath Pal and Pinak Chakrabarti. Steroids 65, 157-162 (2000). DOI: 10.1016/S0039-128X(99)00097-5 PDF
11. Terminal residues in protein chains: residue preference and conformation. Debnath Pal and Pinak Chakrabarti. Biopolymers 53, 467-475 (2000). DOI: 10.1002/(SICI)1097-0282(200005)53:6<467::AID-BIP3>3.0.CO;2-9 PDF
10. Environment of tryptophan side chains in proteins. Uttamkumar Samanta, Debnath Pal and Pinak Chakrabarti. Proteins: Structure, Function and Genetics 38, 288-300 (2000). DOI: 10.1002/(SICI)1097-0134(20000215)38:3<288::AID-PROT5>3.0.CO;2-7 PDF
9. Cis peptide bonds in proteins: residues involved, their conformation, interactions and locations. Debnath Pal and Pinak Chakrabarti. Journal of Molecular Biology 294, 271-288 (1999). DOI: 10.1006/jmbi.1999.3217 PDF
8. Packing of aromatic rings against tryptophan residues in proteins. Uttamkumar Samanta, Debnath Pal and Pinak Chakrabarti. Acta Crystallographica D55, 1421-1427 (1999). DOI: https://doi.org/10.1107/S090744499900726X PDF
7. Graphical representation of salient conformational features of protein residues. Debnath Pal and Pinak Chakrabarti. Protein Engineering 12, 523-526 (1999). DOI: 10.1093/protein/12.7.523 PDF
6. Estimates of the loss of main-chain conformational entropy of different residues on protein folding. Debnath Pal and Pinak Chakrabarti. Proteins: Structure, Function and Genetics 36, 332-339 (1999). DOI: https://doi.org/10.1002/(SICI)1097-0134(19990815)36:3<332::AID-PROT7>3.0.CO;2-H PDF
5. Main-chain conformational features at different conformations of the side-chains in proteins. Pinak Chakrabarti and Debnath Pal . Protein Engineering 11, 631-647 (1998). DOI: 10.1093/protein/11.8.631 PDF
4. Different types of interactions involving cysteine sulfhydryl group in proteins. Debnath Pal and Pinak Chakrabarti. Journal of Biomolecular Structure and Dynamics 15, 1059-1072 (1998). DOI: 10.1080/07391102.1998.10509001 PDF
3. Push-pull butadienes: Evidence for a possible C-H...S hydrogen bond in 4-(Methylthio)-4-nitro-1-(pyrrolidin-1-yl)-buta-1,3-diene. Sheetal S. Surange, Govindaraj Kumaran, Srinivasachari Rajappa, Debnath Pal and Pinak Chakrabarti. Helv. Chimica Acta 80, 2329-2336 (1997). DOI: 10.1002/hlca.19970800805
2. An electrophile-nucleophile interaction in metalloprotein structures. Pinak Chakrabarti and Debnath Pal . Protein Science 6, 851-859 (1997). DOI: 10.1002/pro.5560060412 PDF
1. Stereodivergent C-C bond formation on arene-chromium template: endo-selective allylation by Hosomi-Sakurai reaction. S. Sur, S. Ganesh, D. Pal , P. Chakrabarti and A. Sarkar. Journal of Organic Chemistry 61, 8362-8363 (1996). DOI: 10.1021/jo961353c PDF
Conference Publications
1. AccuRA: Accurate Alignment of Short Reads on Scalable Reconfigurable Accelerators. Santhi Natarajan, Krishna Kumar N., Debnath Pal and S. K. Nandy. Proceeding of the International Conference on Embedded Computer Systems: Architechtures. MOdelling and Simulation (SAMOS XVI), 2016 International Conference on (pp. 79-87). IEEE. (2016, July 18-21). DOI: 10.1109/SAMOS.2016.7818334
2. Using Metabolomics and Machine Learning to Establish a Model to Predict Embryo Implantation Potential. Shankararama Sharma, Aswathi Cheredath, Shivanand M. Pudakalakatti, Shubhashree Uppangala, Guruprasad Kalthur, Pratap Kumar, Hanudatta S. Atreya, Satish K. Adiga and Debnath Pal . 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), 2023 (IN PRESS). DOI:
Book Chapters
10. microRNA Isolation, Expression Profiling, and Target Identification for Neuroprotection in Alzheimer's Disease. Saleem Iqbal, and Debnath Pal. (2023). Book Chapter in Ray S. (eds) Methods in Molecular Biology – Neuroprotection, Methods and Protocols, Springer Nature, New York Link
9. Combinatorial Drug Discovery from Activity Related Substructure Identification. Md. Imbesat Hassan Rizvi, Chandan Raychaudhury, and Debnath Pal. (2018). Book Chapter in Mohan C. (eds) Structural Bioinformatics: Applications in Preclinical Drug Discovery Process. Challenges and Advances in Computational Chemistry and Physics.vol 27. Springer, Cham Link
8. Mechanisms of Arsenic induced toxicity with special emphasis on Arsenic binding proteins. Afaq Hussain, Vineeth A R, Soumya Kundu, Tapendu Samanta, Raja Shunmugam, Debnath Pal, and Jayasri Das Sarma. (2018). Book Chapter in Arsenic - Analytical and Toxicological Studies. Edited by Margarita Stoytchev and Roumen Zlate, InTech Open Access DOI: 10.5772/intechopen.72058
7. Global Asymptotic Stability of a Non-linear Population Model of Diabetes Mellitus. Silvia Rodrigues de Oliveira, Soumyendu Raha, Debnath Pal. (2018). Book Chapter in Differential and Difference Equations with Applications, Edited by Sandra Pinelas, Tomás Caraballo, Peter Kloeden, John R. Graef,. Springer International Publishing AG. DOI: 10.1007/978-3-319-75647-9_29
6. ReneGENE-Novo: Co-designed Algorithm-Architecture for Accelerated Preprocessing and Assembly of Genomic Short Reads. Santhi Natarajan, N. Krishnakumar, H. V. Anuchan, Debnath Pal and S. K. Nandy. (2018). Book Chapter in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Edited by Nikolaos Voros, Michael Huebner, Georgios Keramidas, Diana Goehringer, Christos Antonopoulos, Pedro C. Diniz,. Springer International Publishing AG. DOI: 10.1007/978-3-319-78890-6
5. ReneGENE-GI: Empowering Precision Genomics with FPGAs on HPCs. Santhi Natarajan, N. Krishnakumar, Debnath Pal and S. K. Nandy. (2018). Book Chapter in Applied Reconfigurable Computing. Architectures, Tools, and Applications, Edited by Nikolaos Voros, Michael Huebner, Georgios Keramidas, Diana Goehringer, Christos Antonopoulos, Pedro C. Diniz,. Springer International Publishing AG. DOI: 10.1007/978-3-319-78890-6
4. Information Content Measures and Prediction of Physical Entropy of Organic Compounds. Chandan Raychaudhury and Debnath Pal. (2016). Book Chapter in Mathematical Foundations and Applications of Graph Entropy, Edited by M. Dehmer, Z. Chen, X. Li, Y. Shi, edsa,. Wiley-VCH. Link
3. Discrimination of small molecules using topological molecular descriptors. Chandan Raychaudhury and Debnath Pal. (2015). Book Chapter in Advances in Mathematical Chemistry and Applications, Vol. 2, 2015, 55-73; Edited by Basak S. et al., Bentham Science Publishers. DOI: 10.1016/B978-1-68108-053-6.50003-X
2. Microbes: Turning them into allies. Debnath Pal. (2005). Book Chapter in Biotechnological Applications of Microbes. Edited by Gopi K. Podilla and Ajit Verma, IK International Private Limited, New Delhi. Link
1. TB or Not TB: A Structural Genomics Mission? Celia W. Goulding, Debnath Pal and David Eisenberg. (2004). Chapter 11, 165-190 in Tuberculosis and the Tubercle Bacillus. Edited by Stewart T. Cole, Institut Pasteur; Kathleen D. Eisenach, University of Arkansas for Medical Sciences; David N. McMurray, Texas A&M University System Health Science Center; William R. Jacobs, Jr., Albert Einstein College of Medicine. Book ISBN: 1-55581-295-3 Link   PDF
Patents
1. Mapping of Short Reads in Sequencing Platforms. Santhi Natarajan, Debnath Pal and S. K. Nandy. (2018). India Patent No: 305057
2. Data Streaming in Hardware Accelarator for Alignment of Short Reads. Santhi Natarajan, Debnath Pal and S. K. Nandy. (2019). India Patent No: 325895
3. Hardware Accelerator For Alignment Of Short Reads In Sequencing Platforms. Santhi Natarajan, Debnath Pal and S. K. Nandy. (2023). India Patent No: 468335