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Publication

  1. Yata, V.K., Biswas, A.D., Deb, A., Sanjeev, A., and Mattaparthi, V.S.K., Identification of Cucumis Sativus Urease as a Potential Urea Binding Enzyme by Computational Methods, Biointerface Research in Applied Chemistry, 11(2), (9184-9200), 2021, IF: 0.890, Click Here (DOI)
  2. Yata, V.K., Dutta, N., Das, D., and Mattaparthi, V.S.K., An In Silico Study for the Identification of Novel Putative Compounds Against the Wild and Mutant Type Penicillin Binding Protein 2 of Neisseria Gonorrhoeae, Biointerface Research in Applied Chemistry, 11(2), (8996-9006), 2021, IF: 0.890, Click Here (DOI)
  3. Dutta, M., Deb, A., Das, D., and Mattaparthi, V.S.K., A Computational Approach to Understand the Interactions Stabilizing the Aβ1-42 Oligomers, Biointerface Research in Applied Chemistry, 11(1), (8804-8817), 2021, IF: 0.890, Click Here (DOI)
  4. Yata, V.K., Das, D., Deb, A., Das, N., Mahanta, G., Arora, B., and Mattaparthi, V.S.K., An In-Silico Study of Stable and Environment-Friendly Oryza sativa Urease, Biointerface Research in Applied Chemistry, 11 (3), 10238-10247, 2021, IF: 0.890, Click Here (DOI)
  5. Naik, B., Mattaparthi, V.S.K., Gupta, N., Ojha, R., Das, P., Singh, S., Prajapati, V.K., and Prusty, D., Chemical system biology approach to identify multi-targeting FDA inhibitors for treating COVID-19 and associated health complications, Journal of Biomolecular Structure and Dynamics, , 2021, IF:3.5, Click Here (DOI)
  6. Das, P., and Mattaparthi, V.S.K., Computational Investigation on the MDM2-Idasanutlin Interaction using the Potential of Mean Force method, Current Chemical Biology, , 2021, IF: 0.940, Click Here (DOI)
  7. Borah, P., and Mattaparthi, V.S.K., Effect of Ionic Strength on the aggregation propensity of Aβ1-42 peptide: An in-silico study, Current Chemical Biology, , 2020, IF: 0.940, Click Here (DOI)
  8. Sharma,M., Ganeshpandian, M., Sanjeev, A., Tamilarasan, A., Mattaparthi, V.S.K., Islam, N.S., and Palaniandavar, M., Bis- and mixed-ligand copper(II) complexes of nalidixic acid the antibacterial drug: Mode of nalidixate coordination determines DNA binding and cleavage and cytotoxicity, Inorganica Chimica Acta, 504 (119450), 2020, IF: 2.304, Click Here (DOI)
  9. Das, D., Kakati, M., Gracy, A., Sanjeev, A., Patra, S.M., and Mattaparthi, V.S.K., Screening of druggable conformers of α-synuclein using molecular dynamics simulation, Biointerface Research in Applied Chemistry, 10(3), (5338-5347), 2020, IF: 0.890, Click Here (DOI)
  10. Borah, P., and Mattaparthi, V.S.K., Computational investigation on the role of C-Terminal of human albumin on the dimerization of Aβ1-42 peptide, Biointerface Research in Applied Chemistry, 10(1), (4944-4955), 2020, IF: 0.890, Click Here (DOI)
  11. Kakati, M., Das, D., Das, P., Sanjeev, A., and Mattaparthi, V.S.K., Effect of ethanol as molecular crowding agent on the conformational dynamics of α- synuclein, Letters in Applied NanoBioScience, 9(1), (779-783) , 2020, IF: 0.67, Click Here (DOI)
  12. Das, P., and Mattaparthi, V.S.K., Computational Investigation on the p53–MDM2 Interaction Using the Potential of Mean Force Study, ACS Omega, 5(15), (8449-8462), 2020, IF: 2.87, Click Here (DOI)
  13. Dutta, N., Borah, P., and Mattaparthi, V.S.K., Effect of CTerm of human albumin on the aggregation propensity of Aβ1-42 peptide: a potential of mean force study, Journal of Biomolecular Structure and Dynamics, , 2020, IF: 3.220, Click Here (DOI)
  14. Borah, P., Sanjeev, A., and Mattaparthi, V.S.K., Computational investigation on the effect of Oleuropein aglycone on the α-synuclein aggregation, Journal of Biomolecular Structure and Dynamics, , 2020, IF: 3.220, Click Here (DOI)
  15. Das, P., and Mattaparthi, V.S.K., Computational investigation on the molecular interactions between MDM2 and its photoactivatable inhibitor, Biointerface Research in Applied Chemistry, 9 (6) (4671-4684), 2019, IF: 0.890, Click Here (DOI)
  16. Borah, A.K., Singh, A., Yasmin, R., Doley, R., Mattaparthi, V.S.K., and Saha, S., 1α, 25-dihydroxy Vitamin D3 containing fractions of Catharanthus roseus leaf aqueous extract inhibit preadipocyte differentiation and induce lipolysis in 3T3-L1 cells, BMC Complementary Medicine and Therapies, 19 , 338, 2019, 19 , 338, Click Here (DOI)
  17. Anand, R., Agrawal, M., Mattaparthi, V. S. K., Swaminathan, R., and Santra, S.B., Consequences of Heterogeneous Crowding on an Enzymatic Reaction: A Residence Time Monte Carlo Approach, ACS Omega, 4(1), (727–736), 2019, IF: 2.87, Click Here (DOI)
  18. Sanjeev, A., and Mattaparthi, V. S. K., Computational Study on the Role of γ-Synuclein in Inhibiting the α-Synuclein Aggregation, Central Nervous System Agents in Medicinal Chemistry, 19 (1), 24-30, 2019, IF: 0.65, Click Here (DOI)
  19. Pradhan, S., Sarma, H., and Mattaparthi, V. S. K., Investigation of the probable homo-dimer model of the Xeroderma pigmentosum complementation group A (XPA) protein to represent the DNA binding core, Journal of Biomolecular Structure and Dynamics, 37:13, 3322-3336, 2019, IF: 3.220, Click Here (DOI)
  20. Sarma, H., and Mattaparthi, V. S. K., Structure-Based Virtual Screening of High-Affinity ATP-Competitive Inhibitors Against Human Lemur Tyrosine Kinase-3 (LMTK3) Domain: A Novel Therapeutic Target for Breast Cancer, Interdisciplinary Sciences: Computational Life Sciences, 11, 527-541, 2019, IF: 1.512, Click Here (DOI)
  21. Pradhan, S., Das, P., and Mattaparthi, V. S. K., Characterizing the Binding Interactions between DNA-Binding Proteins, XPA and XPE: A Molecular Dynamics Approach, ACS Omega, 3(11), 15442−15454, 2018, IF: 2.87, Click Here (DOI)
  22. Sanjeev, A., and Mattaparthi, V. S. K., Effect of C-terminal truncations on the aggregation propensity of A53E, a familial mutant of α-Synuclein: An Insilico Study, International Journal for Computational Biology , 7(1), 16-28, 2018, 7(1), 16-28, Click Here (DOI)
  23. Sanjeev, A., and Mattaparthi, V. S. K., Dimerization of C-terminal Truncations of α-synuclein and its Effect on the Aggregation Propensity: A Potential of Mean Force Study, Current Chemical Biology, 12 (2), 191-200, 2018, IF: 0.940, Click Here (DOI)
  24. Sarma, H., and Mattaparthi, V. S. K., Salient Structural Features of Human Lemur Tyrosine Kinase 3 (LMTK3) Domain from Molecular Dynamics Simulation Study, Current Biotechnology, 7(4), 309-316, 2018, IF: 0.46, Click Here (DOI)
  25. Dutta, M., and Mattaparthi, V. S. K., A comparative study to elucidate the inhibitory mechanism of a 6-mer fragment of amyloid-beta 42 peptide as a potential therapeutic in Alzheimer’s disease: insights from molecular dynamics simulations, Current Science, 114 (6), 1207-1213, 2018, IF: 0.756, Click Here (DOI)
  26. Sarma, H., and Mattaparthi, V. S. K., Unveiling the Transient Protein-Protein Interactions that Regulate the Activity of Human Lemur Tyrosine Kinase-3 (LMTK3) Domain by Cyclin Dependent Kinase 5 (CDK5) in Breast Cancer: An in silico Study, Current Proteomics, 15(1), 62-70, 2018, IF: 0.920, Click Here (DOI)
  27. Sanjeev, A., and Mattaparthi, V. S. K., Computational investigation on the effects of H50Q and G51D mutations on the α-Synuclein aggregation propensity, Journal of Biomolecular Structure and Dynamics, 36:9, 2224-2236, 2018, IF: 3.220, Click Here (DOI)
  28. Dutta, M., and Mattaparthi, V. S. K., In silico investigation on the inhibition of Aβ42 aggregation by Aβ40 peptide by potential of mean force study, Journal of Biomolecular Structure and Dynamics, 36:3, 741-752, 2018, IF: 3.220, Click Here (DOI)
  29. Pradhan, S., and Mattaparthi, V. S. K., Structural dynamics and interactions of Xeroderma pigmentosum complementation group A (XPA98–210) with damaged DNA, Journal of Biomolecular Structure and Dynamics, 36:13, 3341-3353, 2018, IF: 3.220, Click Here (DOI)
  30. Sanjeev, A., and Mattaparthi, V. S. K., Effect of C-Terminal Truncations on the Aggregation Propensity of Αlpha-Synuclein-A Potential of Mean Force Study, Journal of Molecular Imaging & Dynamics, 7(1), 1000132, 2017, IF: 0.45, Click Here (DOI)
  31. Pradhan, S., Sarma, H., Bharadwaz, B., and Mattaparthi, V. S. K., Comparative Study on the Binding Affinity of Methimazole and Propylthiouracil to Thyroid Peroxidase as an Anti-Thyroid Drug: An Insilico Approach, Journal of Molecular Imaging & Dynamics, 7(1), 1000131 , 2017, IF: 0.45, Click Here (DOI)
  32. Sarma, H., and Mattaparthi, V. S. K., Effect of activation loop phosphorylation on Lemur Tyrosine Kinase 3 (LMTK3) activity: A Molecular Dynamics Simulation Study, Biological Forum-An International Journal, 9(1), 194-206, 2017, 9(1), 194-206, Click Here (DOI)
  33. Sanjeev, A., and Mattaparthi, V. S. K., Effect of Structural heterogeneity of α-Synuclein mutants on the aggregation propensity, International Journal of Current Research, 9(7), 53448-53456, 2017, IF: 0.46, Click Here (DOI)
  34. Dutta, M. D., Chutia, R., and Mattaparthi, V. S. K., Structural Characterization of Amyloid β17-42 Dimer by Potential of Mean Force Analysis: Insights from Molecular Dynamics Simulations, Protein and Peptide Letters, 24(7), 650-660, 2017, IF: 1.156, Click Here (DOI)
  35. Sanjeev, A., and Mattaparthi, V. S. K., Potential of Mean Force study on the dimerization of non-amyloid-β component of Human α-Synuclein, International Journal for Computational Biology , 6(1), 7-17, 2017, IF: 0.75, Click Here (DOI)
  36. Sanjeev, A., and Mattaparthi, V. S. K., Investigation on the Molecular Interactions Stabilizing the Structure of α-synuclein Fibril: An In silico Study, Central Nervous System Agents in Medicinal Chemistry, 17(3), 209-218, 2017, IF: 0.65, Click Here (DOI)
  37. Sanjeev, A., and Mattaparthi, V. S. K., Effect of Tyrosine to Alanine mutation on the dimerization process of α-Synuclein: A Potential of Mean Force study, Biological Forum: an International Journal, 9(1), 100-107, 2017, IF: 0.65, Click Here (DOI)
  38. Sanjeev, A., and Mattaparthi, V. S. K., Computational investigation on the inter-molecular interactions between α-Synuclein fibrils and Tau protein, propagating Tau aggregation, Current Science, 112 (11), 2219-2225, 2017, IF: 0.756, Click Here (DOI)
  39. Sarma, H., and Mattaparthi, V. S. K., Unveiling the Transient Protein-Protein Interactions that Modulate the Activity of Estrogen Receptor(ER)-α by Human Lemur Tyrosine Kinase-3 (LMTK3) Domain: An In Silico Study, Current Proteomics, 14 (2), 157-164, 2017, IF: 0.920, Click Here (DOI)
  40. Sanjeev, A., and Mattaparthi, V. S. K., Computational Investigation on Tyrosine to Alanine Mutations Delaying the Early Stage of α-Synuclein Aggregation, Current Proteomics, 14 (1), 31-41, 2017, IF: 0.920, Click Here (DOI)
  41. Sanjeev, A., Sahu, R. K., and Mattaparthi, V. S. K., Potential of mean force and molecular dynamics study on the transient interactions between α and β synuclein that drive inhibition of α-synuclein aggregation, Journal of Biomolecular Structure and Dynamics, 35:15, 3342-3353, 2017, IF: 3.220, Click Here (DOI)
  42. Dutta, M., Chutia, R., and Mattaparthi, V. S. K., Cross-Seeding Interaction Between Amyloid β and Tau Protein can Enhance Aggregation, Current Biotechnology , 6(3), 273-279, 2017, IF: 0.46, Click Here (DOI)
  43. Bora,B., Biswas,A. D., Gurung,A. B., Bhattacharjee, A., Mattaparthi, V. S. K., and Mukherjee,A. K., An in silico approach to understand the structure–function properties of a serine protease (Bacifrinase) from Bacillus cereus and experimental evidence to support the interaction of Bacifrinase with fibrinogen and thrombin, Journal of Biomolecular Structure and Dynamics, 35:3 , 622-644, 2017, IF: 3.220, Click Here (DOI)
  44. Basu, A., Das, A. S., Sharma, M., Pathak, M. P., Chattopadhyay, P., Sanjeev, A., Mattaparthi, V. S. K., and Mukhopadhyay, R., Kaempferol attenuates COX-2 expression in IL-6-induced macrophages and carrageenan-induced mouse paw edema by targeting STAT3 and NF-kB, Canadian Journal of Biotechnology , 163, 2017, , Click Here (DOI)
  45. Yata, V. K., Mahajan, S., Thapa, A., Ahmed, S., Biswas, A. D., Sanjeev, A., and Mattaparthi, V. S. K., In silico methods reconfirm CDK2 as a potential molecular target of 5-fluorouracil, Indian Journal of Biochemistry and Biophysics, 53, 199-205, 2016, IF: 0.537, Click Here (DOI)
  46. Hussain, N., Singh, A., Saha, S., Mattaparthi, V. S. K., Bhattacharya, P., and Bhattacharya, S. S., Excellent N-fixing and P-solubilizing traits in earthworm gut-isolated bacteria: A vermicompost based assessment with vegetable market waste and rice straw feed mixtures, Bioresource Technology, 222, 165-174, 2016, IF: 7.539, Click Here (DOI)
  47. Dutta, M., Deb, A., and Mattaparthi, V. S. K., Investigations on the Structural Characteristics that Seed the Aggregation of Amyloid-β1-42 Peptide: Insights from Molecular Dynamics Simulations, Current Proteomics, 13 (3), 172-178, 2016, IF: 0.920, Click Here (DOI)
  48. Dutta, M., and Mattaparthi, V. S. K., Inhibition of Aβ1–42 peptide aggregation using short ss-oligonucleotide as polyions: an in silico approach, Journal of Biomolecular Structure and Dynamics, 35:7, 1401-1406, 2016, IF: 3.220, Click Here (DOI)
  49. Biswas, A. D., Dev, S., and Mattaparthi, V. S. K., Characterization of the structure of Anopheles gambiae Odorant Receptor 1 (AgOR1) and its binding affinity with novel inhibitors and phytochemicals: A Molecular Dynamics and Docking Approach, International Journal of Innovations in Engineering and Technology, 6 (4), 624-641, 2016, IF: 0.65, Click Here (DOI)
  50. Sharma, M., Iyer, J. K., Shih,N., Majumder, M., Mattaparthi, V. S. K., Mukhopadhyay, R., and Doley, R., Daboxin P, a Major Phospholipase A2 Enzyme from the Indian Daboia russelii russelii Venom Targets Factor X and Factor Xa for Its Anticoagulant Activity, PLoS ONE, 11(4): e0153770, 2016, IF: 2.740, Click Here (DOI)
  51. Prajapati, V. K., Satapathy, S. S., Mattaparthi, V. S. K., Buragohain, A.K., and Ray, S. K., Evidences Indicating the Involvement of Selection Mechanisms for the Occurrence of C34 Anticodon in Bacteria, Journal of Cell Science & Molecular Biology, 2 (1), 112, 2015, IF: 0.65, Click Here (DOI)
  52. Yata, V. K., Thapa, A., and Mattaparthi, V. S. K., Structural insight into the binding interactions of modeled structure of Arabidopsis thaliana urease with urea: an in silico study, Journal of Biomolecular Structure and Dynamics, 33:4, 845-851, 2015, IF: 3.220, Click Here (DOI)
  53. Dutta,M., and Mattaparthi, V. S. K., Inhibition of Aβ aggregation in Alzheimer disease using the poly-ion short single stranded DNA: an in silico study, Journal of Biomolecular Structure and Dynamics, 33: sup1, 27, 2015, IF: 3.220, Click Here (DOI)
  54. Dutta, M., and Mattaparthi, V. S. K., Inhibition of amyloid fibrils formation as well as disassembly of amyloid fibrils in Alzheimer disease using the poly-ion, single stranded nucleotide sequence: an in silico study, Journal of Proteins and Proteomics, 6, 2015, , Click Here (DOI)
  55. Mattaparthi, V. S. K., Iyer, A., and Swaminathan, R., Crowding by specific size of Dextran switches the substrate specificity of acetylcholinesterase enzyme, Journal of Proteins and Proteomics, 6, 2015, , Click Here (DOI)
  56. Mandal, T., Mattaparthi, V. S. K., and Maiti, P. K., DNA Assisted Self-Assembly of PAMAM Dendrimers, The Journal of Physical Chemistry B, 118 (40), 11805-11815, 2014, IF: 2.857, Click Here (DOI)
  57. Meher, B. R., Mattaparthi, V. S. K., and Bandyopadhyay,P., Interchain hydrophobic clustering promotes rigidity in HIV-1 protease flap dynamics: new insights from Molecular Dynamics, Journal of Biomolecular Structure and Dynamics, 32:6, 899-915, 2014, IF: 3.220, Click Here (DOI)
  58. Ali, T., Mattaparthi, V. S. K., Basu, S., and Swaminathan,R., MD Simulation Trajectories of Multiple Intrinsically Disordered Proteins Reveal Order to Disorder Transitions that Bear Functional Significance, Biophysical Journal, 106 (2), 484a, 2014, IF: 3.200, Click Here (DOI)
  59. Mattaparthi, V. S. K., and Swaminathan,R., Human Lysozyme Amyloidosis: MD Simulations Reveal Increased Structural Destabilization in Disease causing Mutants Compared to Wildtype, Biophysical Journal, 104(2), supl: 1., 387a, 2013, IF: 3.200, Click Here (DOI)
  60. Meher, B.R., Mattaparthi, V. S. K.,Sharma,S., and Bandhyopadhyay, P., Conformational dynamics of HIV-1 protease: A comparative molecular dynamics simulation study with multiple amber force fields, Journal of Bioinformatics and Computational Biology, 10 (6), 1250018, 2012, IF: 1.133, Click Here (DOI)
  61. Maingi, V., Mattaparthi, V. S. K. and Maiti, P. K., PAMAM Dendrimer–Drug Interactions: Effect of pH on the Binding and Release Pattern, The Journal of Physical Chemistry B, 116 (14), 4370-4376, 2012, IF: 2.857, Click Here (DOI)
  62. Mattaparthi, V. S. K., and Maiti, P. K., Structure of DNA-functionalized dendrimer nanoparticles, Soft Matter, 8, 1893-1900, 2012, IF: 3.399, Click Here (DOI)
  63. Yata, V. K., Sen, K., Mattaparthi, V. S. K., and Ghosh, S. S., Interaction studies of E. coli uracil phosphoribosyltransferase with 5-fluorouracil for potent anti cancer activity, Medicinal Chemistry Research, 21, 1149–1155, 2012, IF: 1.783, Click Here (DOI)
  64. Mattaparthi, V. S. K., and Swaminathan, R., MD Simulations Highlight the Contrast in Dynamics of Intrinsically Disordered Proteins When Compared with Folded Proteins, Biophysical Journal, 100 (3), Supplement 1, 229a, 2011, IF: 3.200, Click Here (DOI)
  65. Mattaparthi, V. S. K., and Swaminathan,R., A novel approach to segregate and identify functional loop regions in protein structures using their Ramachandran maps, Proteins: Structure, Function and Bioinformatics, 78 (4), 900-916, 2010, IF: 2.828, Click Here (DOI)
  66. Mattaparthi, V. S. K., and Swaminathan, R., An Automated Approach to Segregate and Identify Functional or Disordered Loop Regions in Protein Structures using their Ramachandran Maps, Biophysical Journal, 98 (3), Supplement 1, 455a, 2010, IF: 3.200, Click Here (DOI)
  67. Meher, B. R., Mattaparthi, V. S. K., and Bandyopadhyay, P., Molecular dynamics simulation of HIV-protease with polarizable and non-polarizable force fields, Indian Journal of Physics, 83, 81-90, 2009, IF: 1.407, Click Here (DOI)
  68. Meher, B. R., Mattaparthi, V. S. K., and Sen, K., Pressure induced conformational dynamics of HIV-1 protease: A Molecular Dynamics simulation study, 2008 International Conference on Information Technology, 118-122, 2008, , Click Here (DOI)