100. K.M. Saravanan, J.F. Wan, L. Dai, J. Zhang, John Z.H. Zhang and H. Zhang (2024). A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity. Methods In Press.
99. D. Varalakshmi, M. Tharaheshwari, T. Anand and K.M. Saravanan (2024). Transforming oral cancer care: The promise of deep learning in diagnosis. Oral Oncology Reports 100482.
98. G. Pothiaraj, M. Manorajini, S. Pitchaikani, V. Premavathi, K.M. Saravanan and H. Shakila (2024). An evaluation of the bioactivities of silver nanoparticles synthesized from red marine macroalgae. Futuristic Trends in Biotechnology 3, 196-206.
97. B. Harihar, K.M. Saravanan, M.M. Gromiha and S. Selvaraj (2024). Importance of inter residue interactions for understanding protein folding and unfolding rates, remote homology and drug design. Molecular Biotechnology In Press.
96. P.K. Mayuri, D. Varalakshmi, M. Tharaheshwari, C. Sree Somala, S. Sathyapriya, N. Bharathkumar, R. Senthil, R.B. Singh Kushwah, S. Vickram, T. Anand and K.M. Saravanan (2024). Identifying potent fat mass and obesity-associated protein inhibitors using deep learning-based hybrid procedures. Biomedinformatics 4, 347-359.
95. G. Bupesh, C. Amutha, K.M. Saravanan, S. Sudharsan, K.M. Sundaram, T. Siva Vijayakumar, P.P. Pankaj, G. Archunan, D. Haripriya and U.K. Sahoo (2024). Characterization of novel antimicrobial peptides from the epidermis of Clarias batrachus catfish. International Journal of Peptide Research & Therapeutics 11, 30.
94. S.R. Pandi-Perumal, K.M. Saravanan, S. Paul, G.P. Namasivayam and S.B. Chidambaram (2024). Waking up the sleep field: An overview on the implications of genetics and bioinformatics of sleep. Molecular Biotechnology In Press.
93. H. Zhang and K.M. Saravanan (2024). Advances in deep learning assisted drug discovery methods: A self review. Current Bioinformatics In Press.
92. R. Senthil, G. Archunan, D. Vithya and K.M. Saravanan (2024). Hexadecanoic acid analogs as potential CviR-mediated quorum sensing inhibitors in Chromobacterium violaceum: an in silico study. Journal of Biomolecular Structure & Dynamics In Press.
91. A. Murugesan, K.M. Saravanan, S. Koochakkhani, K. Subramanian, J. Kandhavelu, R. Thiyagarajan, A. Gurbanov, K.T. Mahmudov and M. Kandhavelu (2024). Design, synthesis and anticancer evaluation of novel arylhydrazones of active methylene compounds. International Journal of Biological Macromolecules 254, 127909.
90. J. Kandhavelu, K. Subramanian, V. Naidoo, G. Sebastianelli, P. Doan, K.M. Saravanan, H. Yapislar, E. Haciosmanoglu, L. Arslan, S. Ozer, R. Thiyagarajan, N.R. Candeias, C. Penny, M. Kandhavelu and A. Murugesan (2024). A novel EGFR inhibitor, HNPMI regulates apoptosis and oncogenesis by modulating BCL-2/BAX and P53 in colon cancer. British Journal of Pharmacology 16141, 1-18.
89. S.R. Pandi Perumal, K.K. Gulia, H.N. Mallick, D. Shrivastava, A.M. Mahalakshmi, S.B. Chidambaram, R. Rajesh Kumar, K.M. Saravanan, C. Ramasubramaniam, S. Sivasubramaniam, D. Madaro, N. Meera, H.A.M. Agudalao, A. Corlateanu, M.M. eCruz, J. Gronli, W.A.C.M. van de Put, S.E. Hobfoll, K. van der Velden, B. Bjorvatn, M.H. Braakman, M. Partinen, A. Maercker, J.T.V.M. de Jong and M. Berk (2023). Israel-Palestine conflict: Risk of sleep disorders and post-traumatic stress disorders. Sleep and Vigilance 7, 113-117.
88. S.R. Pandi Perumal, W.A.C.M. van de Put, A. Maercker, S.E. Hobfoll, V. Mohan Kumar, C. Barbui, A.M. Mahalakshmi, S.B. Chidambaram, O. Lundmark, T.S. Khai, L. Atwoli, V. Poberezhets, R. Rajesh Kumar, D. Madoro, H.A.M. Agudelo, S.R.H. Hoole, L. Teixeira-Santos, P. Pereira, K.M. Saravanan, A. Vrdoljak, M.M. Cruz, C. Ramasubramaniam, A.K. Tay, J. Gronli, M. Sijbrandij, S. Sivasubramaniam, N. Meera, E.N. Mbong, M. Jansson-Frojmark, B. Bjorvatn, J.T. de Jong, M.H. Braakman, M. Eisenbruch, A.C. Dario, K. van der Velden, G.M. Brown, M. Partinen, A.C. McFarlane and M. Berk (2023). Harbingers of hope: Scientists and the pursuit of world peace. Clinical Psychology in Europe 5, e13197.
87. P. Kamaraj, V.V. Sridhar, T.S. Vijayakumar, S. Parthasarathy, G. Bupesh, N.K. Raju, U.K. Sahoo, A. Nandha and K.M. Saravanan (2023). Carbon nanoparticles fabricated microfilm: A potent filter for microplastics debased water. Environment Pollution 336, 122502.
86. A. Murugesan, K.M. Saravanan, T. Ramesh, S. Palanivel, A.V. Gurbanov, F.I. Zubkov and M. Kandhavelu (2023). Benzenesulfonamide anologs: Synthesis, anti-GBM activity and pharmacoprofiling. International Journal of Molecular Sciences 24, 12276.
85. H. Zhang, K.M. Saravanan and John ZH Zhang (2023). DeepBindGCN: Integrating molecular vector representation with graph convolutional neural networks for accurate protein-ligand interaction prediction. Molecules 28, 4691.
84. K. Mayuri, S. Sarojini, S.S. Chaitanya, R.B.S. Kushwah, K.M. Saravanan, V. Sundaram and T. Anand (2023). Advancement of targeted protein degradation strategies as therapeutics for undruggable disease targets. Future Medicinal Chemistry 15, 867-883.
83. K.M. Saravanan, T. Ramesh, O. Yli-Harja, M. Kandhavelu and A. Murugeasan (2023). Structural analysis of human G-Protein-Coupled Receptor 17 ligand binding sites. Journal of Cellular Biochemistry 124, 533-544.
82. W. Bendangtula, B. Pranjal, G. Bupesh, G. Bhagyudoy, S. Viphrezolie, Alemtoshi and K.M. Saravanan (2023). Bacterial nanocellulose: A novel nanostructured bio-adsorbent for green remediation technology. Acta Ecologia Sinica 43, 946-967.
81. S. Sarojini, K. Mayuri, R.B.S. Kushwah, V. Sundaram, V. Alaguraj, T. Anand and K.M. Saravanan (2023). Drug design and disease diagnosis: The potential of deep learning models in biology. Current Bioinformatics 18, 208-220.
80. N.Z. Ezung, R. Singh, G. Bupesh, K.M. Saravanan, V. Balachandar, M.M.Phukan, V. Senthilkumar, R. Nandhakumar and K.M. Sundaram (2023). A study of interspecies transmission and reassortment events in rotaviruses from cattle in Pant Nagar, Uttarakhand, India. International Journal of Human Genetics 23, 131-139.
79. K.A. Dabhade, H.K. Solanki, G. Bupesh, V.A. Arumugam, P. Viswanathan, M. Bhaskar and K.M. Saravanan (2023). Phytoconstituent screening and in-vitro hypoglycemic and antioxidant properties of terpenoid fraction of Kaempferia pulchra extracts in Indian traditional medicine. Journal of Herbmed Pharmacology 12, 194-201.
78. A. Murugesan, K. Sana, A. Shreshtha, B. Assoah, K.M. Saravanan, M. Murugesan, T. Ramesh, N. Candeias and M. Kandhavelu (2023). Methanodibenzo[b,f][1,5]dioxocins as novel glutaminase inhibitor with antiglioblastoma potential. Cancers 15, 1010.
77. H. Zhang, K.M. Saravanan, Y. Wei, Y. Jiao, Y. Yang, Y. Pan, X. Wu and John ZH Zhang (2023). Deep learning based bioactive therapeutic peptides generation and screening. Journal of Chemical Information & Modeling 63, 835-845.
75. R. Lakshman Raj, S. Vasanth, G. Bupesh, V. Balachandar and K.M. Saravanan (2023). Screening the anticancer activity, cytotoxicity, and anti-osteoarthritic activity of Drynaria Quercifolia through Saos2 cell line studies. Journal of Research in Medical & Dental Science 11, 241-243.
74. D. Haripriya, A. Santhosh, G. Bupesh, P. Roshini, S. Nivedha, S. Padmashree, P. Srivatsan, M. Bhaskar and K.M. Saravanan (2023). Immunomodulatory and apoptotic effect of cinnamaldehyde in HepG2 cells. Biointerface Research in Applied Chemistry 13, 320.
73. S. Jayakumar, S.P. Muthuchellakumar, T. Maghenthiran, K.M. Saravanan and G. Bupesh (2023). Comparative study of the behavior of the people confined for COVID-19 with and without upper respiratory tract infections. Journal of Research in Medical & Dental Science 11, 237-240.
72. A. Arul Joicy, R. Selvamani, C. Janani, B. Chitra, K. Prabhu, K. Marimuthu, G. Bupesh, T. Siva Vijayakumar, and K.M. Saravanan (2023). Photocatalytic degradation of textile dye using green synthesized nanoparticles. Letters in Applied NanoBiosciences 12, 102.
70. H. Zhang, K.M. Saravanan, Y. Yang, Y. Wei, Y. Pan and Z.H. John Zhang (2022). Generating and screening de novo compounds against given targets using ultrafast deep learning models as core components. Briefings in Bioinformatics 23, bbac226.
69. K.M. Sundaram, A. Vamsi Kumar, T. Alphonsa, R. Sangeetha, R. Krishnamurthy, A. Alemtoshi, V. Balachander, B. Pranjal, G. Bupesh and K.M. Saravanan*(2022). COVID-19 and Tuberculosis: Two knives in a sheath. Coronaviruses 3, e050722206645.
68. H. Zhang, T. Zhang, K.M. Saravanan, L. Liao, H. Wu, H. Zhang, H. Zhang, Y. Pan, X. Wu, Y. Wei (2022). DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes. Methods 205, 247-262.
67. H. Zhang, G.X. Hua, Y. Peng, K.M. Saravanan, Z. Bian, Z. Zhang, Y. Wei, Y. Pan and Y. Yang (2022). An efficient modern strategy to screen drug candidates targeting RdRp of SARS-CoV-2 with potentially high selectivity and specificity. Frontiers in Chemistry 10, 933102.
66. A. Murugesan, P. Nguyen, T. Ramesh, O. Yli-Harja, M. Kandhavelu and K.M. Saravanan* (2022). Molecular modelling and dynamics studies of the synthetic small molecule agonists with GPR17 and P2Y receptor. Journal of Biomolecular Structure & Dynamics 40, 12908-12916.
65. Y. Feng, X. Cheng, S. Wu, K.M. Saravanan and W. Liu (2022). Hybrid drug screening strategy identifies potential SARS-CoV-2 cell entry inhibitors targeting human transmembrane serine protease. Structural Chemistry 33, 1503-1515.
64. R. Senthil, K.M. Sundaram, G. Bupesh, S. Usha and K.M. Saravanan*(2022). Identification of oxazolo[4,5-g]quinazolin-2(1H)-one derivatives as EGFR inhibitors for cancer prevention. Asian Pacific Journal of Cancer Prevention 23, 1687-1697.
63. K.M. Saravanan, M. Kannan, P. Meera, N. Bharathkumar and T. Anand (2022). E3 ligases: a potential multi drug target for different types of cancers and neurological disorders. Future Medicinal Chemistry 14, 187-201.62. N. Bharathkumar, A. Sunil, P. Meera, S. Aksah, M. Kannan, K.M. Saravanan and T. Anand (2022). CRISPR/Cas based modifications for therapeutic applications: a review. Molecular Biotechnology 64, 355-372.61. G. Pothiaraj, M. Manoranjini, S. Pitchaikani, K.K. Gowtham, K.M. Saravanan, M. Rajan and H. Shakila (2022). Investigation of therapeutic and immunomodulatory activity of Bacopa Saponin (Bacopa Monnieri). South African Journal of Botany 151, 639-650.
60. K.M. Saravanan, H. Zhang, R. Senthil, K.K. Vijayakumar, V. Sounderarajan, Y. Wei and H. Shakila (2022). Structural basis for the inhibition of SARS-CoV2 main protease by Indian medicinal plant derived antiviral compounds. Journal of Biomolecular Structure & Dynamics 40, 1970-1978.
59. A.P.B. Balaji, S. Bhuvaneswari, L. Stephan Raj, G. Bupesh, K.M. Sundaram and K.M. Saravanan*(2022). A review on the potential species of the Zingiberaceae family with antiviral efficacy towards enveloped viruses. Journal of Pure and Applied Microbiology 16, 796-813.
58. J. Srimathi Devi, D. Haripriya, S. Arul, K.M. Saravanan and G. Bupesh (2022). Evaluation of anti-cancer effect of zerumbone and cisplatin on N-Nitrosodiethylamine induced hepatic cancer in fresh water fish (Danio rerio). Natural Product Research 36, 4794-4798.
57. G. Mutharasu, A. Murugesan, K.M. Saravanan, O. Yli-Harja and M. Kandhavelu (2022). Transcriptomic analysis of glioblastoma multiforme providing new insights into GPR17 signaling communication. Journal of Biomolecular Structure & Dynamics 40, 2586-2599.
56. K.M. Sundaram, G. Bupesh, and K.M. Saravanan*(2022). Instrumentals behind embryo and cancer: A platform for prospective future in cancer research. AIMS Molecular Sciences 9, 25-45.
55. K.M. Saravanan and K.M. Sundaram (2022). Template selection for CASP targets: Role of profile based alignment and physico-chemical property conservation. Advances in Bioresearch 13, 174-181.
54. G. Bupesh, K.M. Saravanan, G.P. Selvam, K.K. Sundaram, and R. Visvanathan (2022). Role of glucose transporting glycosterols in diabetic management. Diabetes & Obesity International 7, 000261.
53. D. Kalaiselvan K.M. Saravanan, R. Nandakumar, M.M. Phukan, G.Bupesh and M. Arun (2022). The antibacterial efficacy of synthesized bionanomaterials produced by Acalypha Indica plant extracts. Advances in Bioresearch 13, 101-107.
52. G. Pothiaraj, P. Manjusha, K.M. Saravanan, V. Natesan, S.H. Salmen, S. Alfaraj, M. Wainwright and H. Shakila (2022). Expression and preliminary characterization of the potential vaccine candidate LipL32 of leptospirosis. Applied Nanoscience In Press.
51. K.M. Sundaram and K.M. Saravanan* (2022). Deciphering role of chameleon fragments in folding of amyloidogenesis. Advances in Bioresearch 13, 55-60.
50. H. Zhang, T. Zhang, K.M. Saravanan, L. Liao, H. Wu, H. Zhang, H. Zhang, Y. Pan, X. Wu and Y. Wei (2021). A novel virtual drug screening pipeline with deep learning as core component identifies inhibitor of pancreatic alpha-amylase. 2021 IEEE International Conference on Bioinformatics & Biomedicine (BIBM) 104-111.
49. K.M. Saravanan and K.M. Sundaram (2021). Effect of bromocriptine in Diabetes Mellitus: A review. Uttar Pradesh Journal of Zoology 42, 1166-1173. 48. H. Zhang, J. Li, K.M. Saravanan, H. Wu, Z. Wang, D. Wu, Y. Wei, Z. Lu, Y.H. Chen, X. Wan and Y. Pan (2021). An integrated deep learning and molecular dynamics simulations based screening pipeline identifies inhibitors of a new cancer drug target TIPE2. Frontiers in Pharmacology 12, 772296.47. H.T. Le, A. Murugesan, T. Ramesh, O. Yli-Harja, K.M. Saravanan* and M. Kandhavelu(2021). Molecular interaction of HIC, an agonist of P2Y1 receptor, and its role in prostate cancer apoptosis. International Journal of Biological Macromolecules 189, 142-150.46. P. Nguyen, P. Doan, T. Rimpilainen, K.M. Saravanan, A. Murugesan, O. Yli-Harja, N.R. Candeias and M. Kandhavelu (2021). Synthesis and pre-clinical validation of novel indole derivatives as a GPR17 agonist for glioblatoma treatment. Journal of Medicinal Chemistry 64, 10908-10918.45. P. Doan, P. Nguyen, A. Murugesan, K. Subramanian, K.M. Saravanan, V. Kalimuthu, B.G. Abraham, B. Stringer, K. Balamuthu, O. Yli-Harja and M. Kandhavelu (2021). Targeting orphan G-Protein Coupled Receptor 17 with T0 ligand impairs glioblastoma growth. Cancers 13, 3773.44. H. Zhang, Z. Bei, W. Xi, M. Hao, Z. Ju, K.M. Saravanan, H. Zhang, N. Guo and Y. Wei (2021). Evaluation of residue-residue contact prediction methods: from retrospective to prospective. PLoS Computational Biology 17, e1009027.43. K.M. Saravanan, H. Zhang, Md. T. Hossain, Md. Selim Reza and Y. Wei (2021). Deep learning based drug screening for COVID-19 and case studies. In Silico Modeling of Drugs Against Coronaviruses, Ed: Kunal Roy, Springer Nature, Springer Protocols pp. 1-30.42. G. Mutharasu, A. Murugesan, K.M. Saravanan, O. Yli-Harja and M. Kandhavelu (2021). Identifying the miRNA signature association with aging-related senescence in glioblastoma. International Journal of Molecular Sciences 22, 517.41. K.M. Saravanan, H. Zhang and Y. Wei (2021). Identifying native and non-native membrane protein loops by using stabilizing energetic terms of three popular force fields. Current Chinese Science 1, 14-21.40. H. Zhang, Y. Yang, J. Li, M. Wang, K.M. Saravanan, J. Wei, Ng. Justin, Md. T. Hossain, M. Liu, H. Zhang, X. Ren, Y. Pan, Y. Peng, Y. Shi, X. Wan, Y. Liu and Y. Wei (2020). A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro. PLoS Computational Biology 16, e1008489.39. K.M. Saravanan, H.P. Zhang, H.L. Zhang, W. Xi and Y. Wei (2020). On the conformational dynamics of β-amyloid forming peptides: a computational perspective. Frontiers in Bioengineering & Biotechnology 8, 532.38. H. Zhang, K.M. Saravanan, Y. Yang, Md. T. Hossain, J. Li, X. Ren, Y.Pan and Y. Wei (2020). Deep learning based drug screening for novel Coronavirus 2019-nCov. Interdisciplinary Sciences 12, 368-376.37. H. Zhang, K.M. Saravanan, J. Lin, L. Liao, N.T.Y. Justin, J. Zhou and Y. Wei (2020). DeepBindPoc: A deep learning method to rank ligand binding pockets using molecular vector representation. Peer J 8, e8864.36. K.M. Saravanan, Y. Peng and Y. Wei (2020). Systematic analysis of no regular secondary structural regions(NORS) in membrane and non-membrane proteins. Journal of Biomolecular Structure & Dynamics 38, 268-274.35. H. Zhang, X. Shao, Y. Peng, Y. Teng, K.M. Saravanan, H. Zhang, H. Li and Y. Wei (2019). A novel machine learning based approach for iPS progenitor cell identification. PLoS Computational Biology 15, e1007351.34. H. Zhang, L. Liao, K.M. Saravanan, Y. Peng and Y. Wei (2019). DeepBindRG: a deep learning based method for estimating effective protein-ligand affinity. Peer J 7, e7362.33. K.M. Saravanan and K. Ponnuraj (2019). Sequence and structural analysis of fibronectin binding proteins reveals the importance of multiple intrinsic disordered tandem repeats. Journal of Molecular Recognition 32, e2768.32. A. Viswanathan, A. Musa, A. Murugesan, J.R. Vale, C.A.M. Afonso, K.M. Saravanan, O. Yli-Harja, N.R. Candeias and M. Kandhavelu (2019). Battling Glioblastoma: A novel tyrosine kinase inhibitor with multi-dimensional anti-tumor effect. Cells 8, 1624.31. H. Le, T. Rimpilainen, K.M. Saravanan, A. Murugesan, O. Yli-Harja, N.R. Candeias and M. Kandhavelu (2019). Synthesis and pre-clinical validation of novel P2Y receptor ligands as a potent anti-prostate cancer agent. Scientific Reports 9, 18938.30. A. Viswanathan, D. Kute, A. Musa, K.M. Saravanan, V. Sipila, F. Emmert-Streib, F. Zubkov, A.V. Gurbanov, O. Yli-Harja and M. Kandhavelu (2019). 2-(2-(2,4-dioxopentan-3-ylidene)hydrazineyl)benzonitrile as novel inhibitor of receptor tyrosine kinase and PI3K/AKT/mTOR signaling pathway in glioblastoma. European Journal of Medicinal Chemistry 166, 291-303.29. R. Senthil, S. Usha and K.M. Saravanan* (2019). Importance of fluctuating amino acid residues in folding and binding of proteins. Avicenna Journal of Medical Biotechnology 11, 339-343.28. S. Saxena, S. Vignesh, K.M. Saravanan and H. Shakila (2019). Immunoglobulin G1 binding with various molecular receptors: A new paradigm of IgG1 as a potential adjuvant. Journal of Acute Disease 8, 28-33.27. Z. Zheng, N. Guo, K.M. Saravanan and Y.Wei (2019). Efficient gene assembly and identification of many genome samples. Lecture Notes in Computer Science ICCC 2019, 1-11.26. K.M. Saravanan, A.K. Dunker and S. Krishnaswamy (2018). Sequence fingerprints distinguish erroneous from correct predictions of intrinsically disordered protein regions. Journal of Biomolecular Structure & Dynamics 36, 4338-4351.25. A. Viswanathan, A. Zhurina, B. Assoah, A. Paakkunainen, A. Musa, D. Kute, K.M. Saravanan, N.R. Candeias and M. Kandhavelu (2018). Decane-1,2-diol derivatives as potential antitumor agents for the treatment of glioblastoma. European Journal of Pharmacology 837, 105-116.24. K.M. Saravanan, S. Palanivel, O. Yli-Harja and M. Kandhavelu (2018). Identification of novel GPR17-agonists by Structural Bioinformatics and signaling activation. International Journal of Biological Macromolecules 106, 901-907.23. K.M. Saravanan and H. Shakila (2017). Frequent nearer terms of molecular adjuvants: A case report. Australian Journal of Science & Technology 1, 98-100.22. K.M. Saravanan and S. Selvaraj (2017). Dihedral angle preferences of amino acid residues forming various non-local interactions in proteins. Journal of Biological Physics 43, 265-278. 21. K. Ponnuraj and K.M. Saravanan* (2017). Dihedral angle preferences of DNA and RNA binding amino acid residues in proteins. International Journal of Biological Macromolecules 97, 434-439.20. K.M. Saravanan, S. Suvaithenamudhan, S. Parthasarathy and S. Selvaraj (2017). Pairwise contact energy statistical potentials can help to find probability of point mutations. Proteins: Structure Function & Bioinformatics 85, 54-64. 19. P. Manoharan and K.M. Saravanan (2017). Computational profiling of pore properties of outer membrane proteins. Journal of Biomolecular Structure & Dynamics 35, 2372-2381.18. K.M. Saravanan and S. Selvaraj (2017). Comparative analysis of inter residue contact energy potentials with surrounding hydrophobicity model. International Journal of Computational Biology 6, 1-6.17. S. Usha and K.M. Saravanan (2016). Structural discrimination of purines and pyrimidines by proteins through water mediated contacts. International Journal of Pharma & Bio Sciences 7, 692-696.16. K.M. Saravanan and R. Senthil (2016). PreFRP: Prediction and visualization of fluctuation residues in proteins (Web Server). Journal of Natural Science Biology & Medicine 7, 124-126.15. S. Vijayaram, K.Suruli, K.M. Saravanan et al., (2016). Preliminary phytochemical screening and GC-MS analysis of two medicinal plant extracts. Pakistan Journal of Pharmaceutical Sciences 29, 819-822.14. S. Muthukumaran and K.M. Saravanan* (2016). Graph modelling language can help to represent inter residue interactions in protein structures. Global Journal of Pure & Applied Mathematics 12, 273-274.13. S. Vignesh, S. Swetha, R.E. Sam, K.M. Saravanan and H. Shakila (2016). Computational predictions on PE/PPE superfamily protein interactions influencing the pathogenecity of M. TB and M. Leprae. Journal of Bioinnovation 5, 419-428.12. K.M. Saravanan* (2015). Sequence analysis of holins by reduced amino acid alphabet model and permutation approaches. Journal of Applied Bioinformatics & Computational Biology 4, 1-5.11. N. Saranya, K.M. Saravanan, M.M. Gromiha and S. Selvaraj (2016). Analysis of secondary structural and physicochemical changes in protein-protein complexes. Journal of Biomolecular Structure & Dynamics 34, 508-516.10. B. Saranya, S. Saxena, K.M. Saravanan and H. Shakila (2016). Comparative analysis of the molecular adjuvants and their binding efficiency with CR1. Interdisciplinary Sciences 8, 35-40.9. M.C. Rishyakulya and K.M. Saravanan* (2015). Computational structural analysis of C-terminal residues of proteins containing transmembrane regions. International Journal of Computational Biology 4, 44-54.8. D. Mary Rajathei, K.M. Saravanan and S. Selvaraj (2015). Conservation of inter residue interactions and prediction of folding rates of domain repeats. Journal of Biomolecular Structure & Dynamics 33, 534-551.7. K.M. Saravanan and S. Selvaraj (2015). Better theoretical models and protein design experiments can help to understand protein folding. Journal of Natural Science Biology & Medicine 6, 202-204.6. K.M. Saravanan and S. Krishnaswamy (2015). Dihedral angle preferences for alanine and glycine residues in alpha and beta transmembrane regions. Journal of Biomolecular Structure & Dynamics 33, 552-562. 5. K.M. Saravanan and S. Selvaraj (2013). Performance of secondary structure prediction methods on proteins containing structurally ambivalent sequence fragments. Biopolymers 100, 148-153. 4. K.M. Saravanan and S. Selvaraj (2013). Search and analysis of identical reverse octapeptides in unrelated proteins. Genomics Proteomics Bioinformatics 11, 114-121. 3. K.M. Saravanan and S. Selvaraj (2012). Search for identical octapeptides in unrelated proteins: Structural plasticity revisited. Biopolymers 98, 11-26. 2. K.M. Saravanan, H. Balasubramanian, S. Nallusamy and S. Selvaraj (2010). Sequence and Structural analysis of two designed proteins with 88% identity adopting different folds. Protein Engineering Design & Selection 23, 911-918.1. K.M. Saravanan and S. Selvaraj (2009). Analysis and visualization of long-range contacts and networks in homologous families of proteins. The Open Structural Biology 3, 104-125.