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Number of items: 24.

Book Chapter

Chandra, N and Sandhya, S and Anand, P (2015) Structural annotation of the Mycobacterium tuberculosis proteome. [Book Chapter]

Journal Article

Rao, V and Chandra, N (2022) In-silico study of influence of HLA heterogeneity on CTL responses across ethnicities to SARS-CoV-2. In: Human Immunology .

Sankar, S and Chandran Sakthivel, N and Chandra, N (2022) Fast Local Alignment of Protein Pockets (FLAPP): A System-Compiled Program for Large-Scale Binding Site Alignment. In: Journal of Chemical Information and Modeling .

Chedere, A and Mishra, M and Kulkarni, O and Sriraman, S and Chandra, N (2022) Personalized quantitative models of NAD metabolism in hepatocellular carcinoma identify a subgroup with poor prognosis. In: Frontiers in Oncology, 12 .

Chattopadhyay, G and Bhasin, M and Ahmed, S and Priya Gosain, T and Ganesan, S and Das, S and Thakur, C and Chandra, N and Singh, R and Varadarajan, R (2022) Functional and Biochemical Characterization of the MazEF6 Toxin-Antitoxin System of Mycobacterium tuberculosis. In: Journal of Bacteriology, 204 (4).

Sankar, S and Chandra, N (2022) SiteMotif: A graph-based algorithm for deriving structural motifs in Protein Ligand binding sites. In: PLoS Computational Biology, 18 (2).

Banerjee, U and Rao, P and Reddy, M and Hussain, M and Chunchanur, S and Ambica, R and Singh, A and Chandra, N (2022) A 9-gene biomarker panel identifies bacterial coinfections in culture-negative COVID-19 cases. In: Molecular Omics .

Thakur, C and Tripathi, A and Ravichandran, S and Shivananjaiah, A and Chakraborty, A and Varadappa, S and Chikkavenkatappa, N and Nagarajan, D and Lakshminarasimhaiah, S and Singh, A and Chandra, N (2022) A new blood-based RNA signature (R9), for monitoring effectiveness of tuberculosis treatment in a South Indian longitudinal cohort. In: iScience, 25 (2).

Ravichandran, S and Banerjee, U and DR, GD and Kandukuru, R and Thakur, C and Chakravortty, D and Balaji, KN and Singh, A and Chandra, N (2021) VB10, a new blood biomarker for differential diagnosis and recovery monitoring of acute viral and bacterial infections. In: EBioMedicine, 67 .

Banerjee, U and Baloni, P and Singh, A and Chandra, N (2021) Immune Subtyping in Latent Tuberculosis. In: Frontiers in Immunology, 12 .

Hariharan, VN and Yadav, R and Thakur, C and Singh, A and Gopinathan, R and Singh, DP and Sankhe, G and Malhotra, V and Chandra, N and Bhatt, A and Saini, DK (2021) Cyclic di-GMP sensing histidine kinase PdtaS controls mycobacterial adaptation to carbon sources. In: FASEB Journal, 35 (4).

Banerjee, U and Sankar, S and Singh, A and Chandra, N (2020) A Multi-Pronged Computational Pipeline for Prioritizing Drug Target Strategies for Latent Tuberculosis. In: Frontiers in Chemistry, 8 .

Sharma, A and Chattopadhyay, G and Chopra, P and Bhasin, M and Thakur, C and Agarwal, S and Ahmed, S and Chandra, N and Varadarajan, R and Singh, R (2020) VapC21 Toxin Contributes to Drug-Tolerance and Interacts With Non-cognate VapB32 Antitoxin in Mycobacterium tuberculosis. In: Frontiers in Microbiology, 11 .

Bhosle, A and Datey, A and Chandrasekharan, G and Singh, D and Chakravortty, D and Chandra, N (2020) A Strategic Target Rescues Trimethoprim Sensitivity in Escherichia coli. In: iScience, 23 (4).

Jameei, A and Nagarajan, D and Sarikhani, M and Chandra, N and Karande, AA (2019) Development and Characterization of a Potent Tumor Necrosis Factor-Alpha-Blocking Agent. In: Monoclonal Antibodies in Immunodiagnosis and Immunotherapy, 38 (4). pp. 145-156.

Nagarajan, D and Nagarajan, T and Nanajkar, N and Chandra, N (2019) A uniform in vitro efficacy dataset to guide antimicrobial peptide design. In: Data, 4 (1).

Chandra, N and Groenewald, HW and Kriel, JN and Scholtz, FG and Vaidya, S (2014) Spectrum of the three-dimensional fuzzy well. In: JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 47 (44).

Raman, K and Bhat, AG and Chandra, N (2010) A systems perspective of host-pathogen interactions: predicting disease outcome in tuberculosis. In: Molecular BioSystems, 6 (3). pp. 516-530.

Raman, K and Bhat, AG and Chandra, N (2010) A systems perspective of host-pathogen interactions: predicting disease outcome in tuberculosis. In: Molecular BioSystems, 6 (3). pp. 516-530.

Slvapriya, K and Hariharaputran, S and Suhas, VL and Chandra, N and Chandrasekaran, Srinivasan (2007) Conformationally locked thiosugars alpha-mannosidase inhibitors: Synthesis, and docking studies as potent biochemical. In: Bioorganic & Medicinal Chemistry, 15 (17). pp. 5659-5665.

Bhavani, S and Nagargadde, A and Thawani, A and Sridhar, V and Chandra, N (2006) Substructure-Based Support Vector Machine Classifiers for Prediction of Adverse Effects in Diverse Classes of Drugs. In: Journal of Chemical Information and Modeling, 46 (6). pp. 2478-2486.

Prabu, JR and Rangannan, V and Chandra, N (2006) Carbohydrate-based drug design: Recognition fingerprints and their use in lead identification. In: Indian Journal Of Chemistry Section A-Inorganic Bio-Inorganic Physical Theoretical & Analytical Chemistry, 45 (1). pp. 77-92.

Shobini, J and Mishra, AK and Chandra, N (2001) Cd Conformational And Modeling Studies Of A Synthetic Peptide Vpdlladllk In Different Media. In: Protein & Peptide Letters, 8 (1). pp. 49-55.

Editorials/Short Communications

Chandra, N and Menon, GI (2020) Editorial overview: Biophysical and computational methods. In: Current Opinion in Structural Biology .

This list was generated on Tue Nov 29 02:57:43 2022 IST.