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Overview

The core focus of the life sciences research area team is computational genomics. This involves researching and designing solutions that employ a combination of artificial intelligence, cognitive computing capabilities, robotic process automation, the internet of things, and cloud computing to fully digitize the life sciences value chain.

Fields

The team works across the following areas of research:

  • Human genome variation interpretation: This group works on the development of tools and algorithms in the area of human genome interpretation with DNAseq, RNAseq and epigenetic data analyses. Key collaborative projects include diagnoses of rare disorders of unknown etiology for better understanding of gene pathways and disease pathology, exploration of next-generation sequencing as a replacement for screening tests and genetics in cancer treatment modalities. Another area of research is the construction and use of genotype-phenotype-disease networks using natural language processing to identify novel gene-disease relationships.

The group is led by Dr. Rajgopal Srinivasan and includes Akriti Jain, Poulami Chaudhuri, Sadhna Rana, Sutapa Datta, Uma Sunderam, Aditya Rao, V G Saipradeep, Naveen Sivadasan & Thomas Joseph

Academic Partners: University of California at Berkeley, Tata Medical Center Kolkata

Key Publications:

Adhikari AN, Gallagher RC, Wang Y, Currier RJ, Amatuni G, Bassaganyas L, Chen F, Kundu K, Kvale M, Mooney SD, Nussbaum RL, Randi SS, Sanford J, Shieh JT, Srinivasan R, Sunderam U, Tang H, Vaka D, Zou Y, Koenig BA, Kwok PY, Risch N, Puck JM, Brenner SE. 2020 The role of exome sequencing in newborn screening for inborn errors of metabolism. Nature Medicine (2020) PMID:32778825 doi:10.1038/s41591-020-0966-5

Adhikari AN, Currier RJ, Tang H, Turgeon CT, Nussbaum RL, Srinivasan R, Sunderam U, Kwok PY, Brenner SE, Gavrilov DK, Puck JM, Gallagher R. 2020. Genomic analysis of historical cases with positive newborn screens for short chain acyl-CoA dehydrogenase deficiency shows that a validated second tier biochemical test can replace future sequencing. International Journal of Neonatal Screening, 6(2), 41 doi:10.3390/ijns6020041

Volpi S et al. EXTL3 mutations cause skeletal dysplasia, immune deficiency, and developmental delay. The Journal of Experimental Medicine, 214 (3), 623-637

  • Pan-genome analysis: This team works on developing efficient algorithms to represent a collection of genomes as a graph (pan-genome), and use them for improved modeling and analysis.

The group is led by Dr. Naveen Sivadasan, and includes Kavya Vaddadi, Vidushi Walia, Aditya Ramakrishna Rao, V G Saipradeep, Sujatha Kotte and Thomas Joseph

Key Publications

Rao A, Joseph T, Saipradeep VG, Kotte S, Sivadasan N, Srinivasan R. PRIORI-T: A tool for rare disease gene prioritization using MEDLINE. PLoS ONE. 2020 Apr 21;15(4):e0231728.

Kasak L et al. CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases. Human Mutation Jul 19 (2019)

Kavya Vaddadi, Kshitij Tayal, Rajgopal Srinivasan, Naveen Sivadasan. Sequence Alignment on Directed Graphs. Journal of Computational Biology, January 2019. 

Kavya Vaddadi, Rajgopal Srinivasan, Naveen Sivadasan. Read Mapping on Genome Variation Graphs. WABI, September 2019.

Rao A, Saipradeep VG, Joseph T, Kotte S, Sivadasan N, Srinivasan R. Phenotype-driven gene prioritization for rare diseases using graph convolution on heterogeneous networks. BMC Medical Genomics Jul 6;11(1):57 (2018)

  • Metagenomics and systems biology: This group specializes in identifying microbiome-based biomarkers that have clinical application or utility in the early detection or diagnosis of asymptomatic diseases and metabolic or genetic disorders. Modeling and simulation of biological systems that affect different hierarchies of life is also another area of interest

The group is led by Dr. Sharmila Mande and includes Mohammed Monzoorul Haque, Anirban Dutta, Swadha Anand, Kuntal Kumar Bhusan, Chandrani Das, Tungadri Bose, Nishal Kumar Pinna, Sunil Nagpal, Deepak Yadav, Mitali Merchant, Venkata Siva Kumar Reddy Chennareddy, Harrisham Kaur, Rashmi Singh, Vineet Bhatt, Anwesha Mohapatra, Subhrajit Bhar, Arvind Shankar, Krishanu Das Baksi, Preethi Sampath

Academic Partners: AIIMS, New Delhi; ICGEB, New Delhi; NCCS, Pune; IISc, Bangalore; CDFD, Hyderabad; Bose Institute, Kolkata; IISER, Mohali; IIT Bombay; IIT Kharagpur; MDRF, Chennai; NCL, Pune; NII, New Delhi; THSTI, Gurgaon; University of Hyderabad; University of Copenhagen

  • Computational structural biology: This team is working on:

  1. Using multi-scale modelling and simulation to obtain fundamental insights into the structural dynamics of biomolecules (especially drug targets)

  2. Applying deep learning and other AI-based methods for drug discovery

  3. Using network-based methods for drug target identification and drug repurposing.

The team is led by Dr. Arijit Roy, and includes Dr. Siladitya Padhi, Dr. Navneet Bung, Dr. Broto Chakrabarty, Dibyajyoti Das, and Sowmya Ramaswamy Krishnan.

Academic Collaborations: University of Oxford, Oxford, UK; Icahn School of Medicine, New York, USA; Dr. Reddy’s Institute of Life Sciences, Hyderabad, India; International Institute of Information Technology, Hyderabad, India; University of Hyderabad, Hyderabad, India

Key Publications:

(1) Bailey HJ, Bezerra GA, Marcero JR, Padhi S, Foster WR, Rembeza E, Roy A, Bishop DF, Desnick RJ, Bulusu G, Dailey HA, Yue WW (2020) Human aminolevulinate synthase structure reveals a eukaryotic-specific autoinhibitory loop regulating substrate binding and product release. Nat Commun 11(1):1-2.

(2) Das D, Krishnan SR, Roy A, Bulusu G (2019) A network-based approach reveals novel invasion and Maurer’s cleft-related proteins in Plasmodium falciparum. Mol Omics 15(6):431-441.

(3) Das D, Krishnan S R, Bulusu G, Roy A (2019) Computational predictions of host-pathogen interactions using domain and sequence signature. 2019 IEEE International Conference on Bioinformatics and Biomedicine, San Diego, USA.

(4) Bung N, Roy A, Chen B, Das D, Pradhan M, Yasuda M, New MI, Desnick RJ, Bulusu G (2018) Human hydroxymethylbilane synthase: Molecular dynamics of the pyrrole chain elongation identifies step-specific residues that cause AIP. Proc Natl Acad Sci USA 115(17): E4071-E4080.

(5) Bung N, Surepalli S, Seshadri S, Patel S, Peddasomayajula S, Kummari LK, Kumar ST, Babu PP, Parsa KVL, Poondra RR, Bulusu G, Misra P (2018) 2-[2-(4-(trifluoromethyl) phenylamino) thiazol-4-yl] acetic acid (Activator-3) is a potent activator of AMPK. Sci Rep 8(1):1-16.

  • Model-informed drug discovery and development: This performs research in the following areas: 1) PK-PD Data Analyses 2) Drug safety Prediction and Drug Repurposing based on clinical side effects, gene expressions and other types of drug related information. Furthermore, they develop tools that incorporate accurate models to estimate the viability of candidate drug molecules and to discard unviable molecules as early as possible in the drug discovery and development process

The group is led by Dr. R Narayanan (Principal Scientist) and includes Ibrahim Roshan, Mastan, Shyam Sundar Das, Amit Patil and Pritish Ranjan

  • Patents : This research area team has received three patents.
  • Publications:

1. Subgraph Similarity Search in Large Graphs

International Workshop on Large-scale Graph Storage and Management

10/04/2016

Naveen Sivadasan,

2. GPhase: Greedy Approach for Accurate Haplotype Inferencing

European conference on Computational Biology

01/06/2016

Kshitij Tayal, Naveen Sivadasan,

3. Dichotomy results on the hardness of H-free edge modification problems.

SIAM Journal of Discrete Mathematics

01/12/2016

Naveen Sivadasan,

4. On Polynomial Kernelization of H-Free Edge Deletion

Algorithmica Springer Journal

19/09/2016

Naveen Sivadasan,

5. Creation Of Biomedical Concept Dictionaries For Applications In Rare Disease Gene Prioritization

International Biocuration Conference

09/03/2017

Aditya Ramkrishna Rao, Thomas Joseph, Kotte Sujatha, Saipradeep V G, Prisni Rath, Naveen Sivadasan, Rajgopal Srinivasan,

6. Text-Mining Of MEDLINE For Rare Disease Studies

Great Lakes Bioinformatics Conference

03/04/2017

Aditya Ramkrishna Rao, Saipradeep V G, Thomas Joseph, Kotte Sujatha, Naveen Sivadasan, Rajgopal Srinivasan,

7. Heterogeneous Network Based Rare Disease Gene Prioritization

Translational Bioinformatics Conference

12/07/2017

Aditya Ramkrishna Rao, Saipradeep V G, Thomas Joseph, Kotte Sujatha, Naveen Sivadasan, Rajgopal Srinivasan,

8. Text Mining MEDLINE for Rare Disease Gene Prioritization

Translational Bioinformatics Conference

11/07/2017

Aditya Ramkrishna Rao, Thomas Joseph, Kotte Sujatha, Saipradeep V G, Naveen Sivadasan, Rajgopal Srinivasan,

9. Combining Gene and Variant Prioritized Rank Order Gene Lists

Translational Bioinformatics Conference

11/07/2017

Aditya Ramkrishna Rao, Saipradeep V G, Prisni Rath, Naveen Sivadasan, Thomas Joseph, Rajgopal Srinivasan,

10. Phenotype-driven Gene Prioritization for Rare Diseases Using Graph Convolution on Heterogeneous Networks

BMC Medical Genomics

30/05/2018

Aditya Ramkrishna Rao, Saipradeep V G, Thomas Joseph, Kotte Sujatha, Naveen Sivadasan, Rajgopal Srinivasan,

11. Rare Disease Gene Prioritization Using MEDLINE Derived Association Network

Intelligent systems for Molecular Biology

01/07/2019

Saipradeep V G, Aditya Ramkrishna Rao, Thomas Joseph, Kotte Sujatha, Naveen Sivadasan, Rajgopal Srinivasan,

12. CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases

Human Mutation

15/06/2019

Aditya Ramkrishna Rao, Saipradeep V G, Thomas Joseph, Naveen Sivadasan, Uma Sunderam, Kotte Sujatha,

13. Multisystem Anomalies in Severe Combined Immunodeficiency with Mutant BCL11B

The New England Journal of Medicine

20/08/2016

Rajgopal Srinivasan, Sadhna Rana,

14. EXTL3 mutations cause skeletal dysplasia, immune deficiency, and developmental delay

The Journal of Experimental Medicine

07/01/2017

Prisni Rath,

15. PgmNr 3400: Exome sequencing of infant dried blood spots identifies three-quarters of metabolic disorders found by newborn screening, indicating limits to exomes in both newborn screening and diagnostic testing.

American Society of Human Genetics Annual Meeting

05/09/2016

Rajgopal Srinivasan, Uma Sunderam,

16. Poster presentation on Diagnostic role of exome sequencing in newborns with Severe Combined Immunodeficiency

Annual Conference of the Molecular Pathology Association of India

16/01/2017

Sadhna Rana,

17. Comparative In silico Analysis of Butyrate Production Pathways in Gut Commensals  and Pathogens

Frontiers in Microbiology

18/11/2016

Swadha Anand, Harrisham Kaur, Sharmila S. Mande,

18. Xenobiotic Metabolism and Gut Microbiomes

PLoS ONE

03/09/2016

Sharmila S. Mande,

19. Web-igloo: a web based platform for multivariate data visualization

Bioinformatics

18/10/2016

Kuntal Kumar Bhusan, Sharmila S. Mande,

20. Global investigation of composition and interaction networks in gut microbiomes of individuals belonging to diverse geographies and age-groups

Gut Pathogens

08/04/2016

Sharmila S. Mande, Deepak Yadav,

21. Inferring Intra-Community Microbial Interaction Patterns from Metagenomic Datasets Using Associative Rule Mining Techniques

PLoS ONE

14/04/2016

Sharmila S. Mande, Mohammed Monzoorul Haque, Disha Tandon,

22. CompNet: a GUI based tool for comparison of multiple biological interaction networks

BMC Bioinformatics

05/04/2016

Kuntal Kumar Bhusan, Sharmila S. Mande, Anirban Dutta,

23. Crosstalk between host-pathogen interaction, gene regulation and metabolism in Mycobacterium tuberculosis

Keystone Symposia

28/10/2016

Sharmila S. Mande, Tungadri Bose, Chandrani Das, Anirban Dutta,

24. Computational Analysis of Protein Interactions between Humans and Different Strains of Escherichia coli

TCS Internal

30/12/2016

Tungadri Bose, Sharmila S. Mande,

25. Understanding virulence mechanisms of Salmonella through mathematical modeling

TCS Internal

30/12/2016

Chandrani Das, Sharmila S. Mande,

26. Innovative methods for multidimensional omics data visualization

BioVis

25/04/2016

Sharmila S. Mande, Kuntal Kumar Bhusan,

27. Regulatory cross-talk among virulence factors in Salmonella typhimurium

Indian Chemical Engineering Congress

15/12/2016

Chandrani Das, Sharmila S. Mande,

28. Computational Analysis of Host Pathogen Protein Interactions between Humans and Different Strains of Enterohemorrhagic Escherichia coli

Frontiers in Cellular and Infection Microbiology

19/04/2017

Tungadri Bose, Sharmila S. Mande,

29. Insights into horizontal acquisition patterns of dormancy and reactivation regulon genes in mycobacterial species using a partitioning-based framework

Journal of Biosciences

30/05/2016

Sharmila S. Mande,

30. Web-gLV: A Web Based Platform for Lotka-Volterra Based Modeling and Simulation of Microbial Populations

Frontiers in Microbiology

22/02/2019

Kuntal Kumar Bhusan, Sharmila S. Mande,

31. iVikodak A Platform and Standard Workflow for Inferring, Analyzing, Comparing, and Visualizing the Functional Potential of Microbial Communities

Frontiers in Microbiology

14/01/2019

Sunil Nagpal, Mohammed Monzoorul Haque, Rashmi Singh, Sharmila S. Mande,

32. iVikodak: A one-stop platform for prediction, analysis, comparison, and visualization of the functional potential of microbial communities

International Conference on Microbiome Research

25/10/2018

Sunil Nagpal, Mohammed Monzoorul Haque, Rashmi Singh, Sharmila S. Mande,

33. Structural dynamics of PBGD during the complex four step tetrapyrrole synthesis

Chemistry and Biology of Tetrapyrroles Gordon Research Conference

20/05/2016

Gopalakrishnan Bulusu, Arijit Roy, Navneet Bung, Meenakshi Pradhan, Dibyajyoti Das,

34. Understanding the mechanism of porphobilinogen demainase using multiscale modelling

Theory and Simulation Across Scales in Molecular Science

24/05/2016

Gopalakrishnan Bulusu, Arijit Roy, Navneet Bung,

35. Dynamics of the TPP Riboswitch: Switching Mechanism, Role of Magnesium, and Long Range Allostery

RNA Group meeting

13/08/2017

Dr Siladitya Padhi, Navneet Bung, Arijit Roy, Gopalakrishnan Bulusu, Meenakshi Pradhan,

36. Binding and switching mechanism of the E. coli TPP riboswitch revealed by molecular dynamics

Annual Meeting of the Indian Biophysical Society

17/01/2018

Dr Siladitya Padhi, Navneet Bung, Arijit Roy, Gopalakrishnan Bulusu, Meenakshi Pradhan,

37. Insights on the stability of human porphobilinogen deaminase  from protein residue networks

Annual Meeting of the Indian Biophysical Society

10/01/2017

Dibyajyoti Das, Arijit Roy, Navneet Bung, Gopalakrishnan Bulusu,

38. Residue interaction networks explain role of amino acids in protein stability

Intelligent systems for Molecular Biology

10/05/2017

Dibyajyoti Das, Arijit Roy, Navneet Bung, Gopalakrishnan Bulusu,

39. Activator-3 is a potent activator of AMPK

Nature Scientific Reports

25/06/2018

Navneet Bung, Gopalakrishnan Bulusu,

40. Network based prediction of novel Plasmodium falciparum gene targets using random walk with restart method

Annual Meeting of the Indian Biophysical Society

03/01/2018

Dibyajyoti Das, Arijit Roy, Gopalakrishnan Bulusu,

41. Understanding malaria pathogenesis from multi-omics data analysis

Annual Meeting of the Indian Biophysical Society

03/01/2018

Arijit Roy, Gopalakrishnan Bulusu, Dibyajyoti Das,

42. MD Simulations of the pyrrole chain elongation identifies stage-specific residues that cause AIP

Annual Meeting of the Indian Biophysical Society

03/01/2018

Navneet Bung, Gopalakrishnan Bulusu, Dibyajyoti Das, Arijit Roy, Meenakshi Pradhan,

43. TPP riboswitch aptamer: role of Mg ions, ligand unbinding, and allostery

Journal of Molecular Graphics and Modelling

18/01/2019

Dr Siladitya Padhi, Meenakshi Pradhan, Gopalakrishnan Bulusu, Arijit Roy, Navneet Bung,

44. Human hydroxymethylbilane synthase: Molecular dynamics of the pyrrole chain elongation identifies step-specific residues that cause AIP

Proceedings of the National Academy of Sciences of the United States of America

06/03/2018

Navneet Bung, Arijit Roy, Gopalakrishnan Bulusu, Dibyajyoti Das, Meenakshi Pradhan,

45. Computational modeling of the catalytic mechanism of hydroxymethylbilane synthase

Royal Society of Chemistry Physical Chemistry Chemical Physics Journal

28/03/2019

Navneet Bung, Arijit Roy, Gopalakrishnan Bulusu,

46. Unfolding Transitions of Peripheral Subunit Binding Domains Show Cooperative Behavior

The Journal of Physical Chemistry B

08/04/2019

Gopalakrishnan Bulusu,

47. Strong and Weak Hydrogen Bonds in ProteinLigand Recognition

Journal of the Indian Institute of Science

30/10/2019

Gopalakrishnan Bulusu,

48. Chitooligosaccharide binding to CIA17 (Coccinia indica agglutinin). Thermodynamic characterization and formation of higher order complexes

International Journal of Biological Macromolecules

26/06/2019

Gopalakrishnan Bulusu,

49. New target discovery from host-pathogen interactions for malaria

IEEE International Conference on High Performance Computing

30/09/2019

Gopalakrishnan Bulusu, Arijit Roy, Dibyajyoti Das, Navneet Bung, Dr Siladitya Padhi,

50. APPLICATION OF HARMONY SEARCH ALGORITHM FOR PK-PD PARAMETER ESTIMATION

International ISSX Meeting

10/09/2016

Jayant Sancheti, Shyam Sundar Das, R Narayanan,

51. Study of the efficiency of Gravitational Search Algorithm and its Hybridized version for Pharmacokinetic Parameter Estimation

AAPS Annual Meeting and Exposition

21/09/2018

Shyam Sundar Das, Viplove Pandey, R Narayanan,

52. Pharmacokinetic Parameter Optimization Using Modified LuusJaakola Optimization Method

AAPS Annual Meeting and Exposition

21/09/2018

Shyam Sundar Das, Viplove Pandey,

53. DEEP CONVOLUTION NEURAL NETWORKS ANALYSIS OF CHEMICAL IMAGES: APPLICATIONS IN DRUG DISCOVERY AND DEVELOPMENT

North American ISSX Meeting

22/06/2018

Geervani K, R Narayanan,

54. GENERATION OF REPRODUCIBLE REGRESSION MODELS USING PARALLELIZED MODIFIED TEACHING LEARNING BASED SEARCH OPTIMIZATION METHOD AND ITS APPLICATIONS

North American ISSX Meeting

22/06/2018

Geervani K, R Narayanan,

55. PREDICTION OF RESPIRATORY TOXICITY USING CHEMICAL INFORMATION AND MACHINE LEARNING TECHNIQUES

North American ISSX Meeting

22/05/2018

Dipayan Ghosh, Geervani K, R Narayanan,

56. PREDICTION OF ADVERSE DRUG REACTIONS OF BIASED DATA USING BOOTSTRAP AGGREGATING AND MACHINE LEARNING TECHNIQUES

North American ISSX Meeting

22/05/2018

Dipayan Ghosh, Geervani K, R Narayanan,

57. Prediction of Renal Toxicity Using Chemical Information and Machine Learning Techniques: Scope and Limitations

AAPS Annual Meeting and Exposition

22/09/2017

Geervani K, Dipayan Ghosh, R Narayanan,

58. Structural Alert Based System For Respiratory Toxicity Prediction

AAPS Annual Meeting and Exposition

22/09/2017

Jayant Sancheti, Amit Dilip Patel, Mastan Vali Shaik, Shyam Sundar Das,

59. Coputational Models For Predicting hERG Inhibitors

AAPS Annual Meeting and Exposition

22/09/2017

Jayant Sancheti, Shyam Sundar Das, Mastan Vali Shaik, Amit Dilip Patel,

60. Classification Models For CaCo-2 Permeability Using Chemical Information and Machine Learning Techniques: Scope and Limitations

Bioinformatics and Biomedicine

16/10/2017

Dipayan Ghosh, Geervani K, R Narayanan,

61. Allosteric effect, role of cations and ligand binding mechanism in the E. coli TPP riboswitch

Computational Chemistry in Biology and Medicine

02/11/2017

Dr Siladitya Padhi, Navneet Bung, Arijit Roy, Gopalakrishnan Bulusu, Meenakshi Pradhan,

62. Conformational dynamics and substrate binding in the heme biosynthetic enzyme ALAS2

Annual Meeting of the Indian Biophysical Society

17/01/2019

Dr Siladitya Padhi, Arijit Roy, Gopalakrishnan Bulusu,

63. Computational Approach to Predict Host-Pathogen Interactions

Annual Conference of Association of Microbiologists of India and International Symposium on Host-Pathogen Interactions

28/11/2018

Dibyajyoti Das, Arijit Roy, Gopalakrishnan Bulusu,

64. Identification of key malaria related proteins from integrated host-pathogen protein-protein interaction networks

Annual Conference of Association of Microbiologists of India and International Symposium on Host-Pathogen Interactions

01/12/2018

Arijit Roy, Dibyajyoti Das, Gopalakrishnan Bulusu,

65. Identification of novel Plasmodium falciparum proteins related to invasion and Maurers clefts using random walk with restart method

Annual Meeting of the Indian Biophysical Society

21/02/2019

Arijit Roy, Dibyajyoti Das, Gopalakrishnan Bulusu,

66. Computational predictions of host-pathogen interactions using domain and sequence signature

Bioinformatics and Biomedicine

02/10/2019

Dibyajyoti Das, Gopalakrishnan Bulusu, Arijit Roy,

67. A network-based approach reveals novel invasion and Maurers clefts-related proteins in Plasmodium falciparum

Molecular Omics

10/10/2019

Dibyajyoti Das, Arijit Roy, Gopalakrishnan Bulusu,

68. Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach

BMC Genomics

19/07/2018

Tungadri Bose, Chandrani Das, Anirban Dutta, Sharmila S. Mande, Vishnuvardhan M, Sudipta Sadhu

69. Improving genome scale flux predictions by incorporating gene expression and metabolic concentration data

International Conference on Microbiome Research

24/10/2018

Arvind J Shankar, Tungadri Bose, Anirban Dutta, Sharmila S. Mande,

70. Hypoxic adaptation of Mycobacterium tuberculosis: An in silico Investigation of cross-talk between mycobacterial metabolism, gene-regulation and host-pathogen interactions

RECOMB/ISCB Conference on Regulatory & Systems Genomics

02/11/2018

Anirban Dutta, Tungadri Bose, Chandrani Das, Sharmila S. Mande, Vishnuvardhan M, Sudipta Sadhu,

71. Gut microbiome potential for production of immune system modulators via amino acid metabolism

International Conference on Microbiome Research

19/11/2018

Chandrani Das, Mohammed Monzoorul Haque, Sharmila S. Mande,

72. Alterations in the gut bacterial microbiome in fungal Keratitis patients

PLoS ONE

11/06/2018

Anirban Dutta, Nishal Kumar P, Sharmila S. Mande,

73. Diet, Microbiota and Gut-Lung Connection

Frontiers in Microbiology

21/08/2018

Swadha Anand, Sharmila S. Mande,

74. Distribution of host-pathogen interacting proteins from enteropathogenic bacteria in metagenomic samples of child gut with varying nutritional index

International Conference on Microbiome Research

24/10/2018

Subhrajit Bhar,Tungadri Bose, Sharmila S. Mande,

75. Can Targeting Non-Contiguous VRegions With Paired End Sequencing Improve 16S rRNA Based Taxonomic Resolution of Microbiomes An In Silico Evaluation

Frontiers in Microbiology

12/07/2019

Nishal Kumar P, Anirban Dutta, Mohammed Monzoorul Haque, Sharmila S. Mande,

76. Visual exploration of microbiome data

Journal of Biosciences

01/10/2019

Sharmila S. Mande, Kuntal Kumar Bhusan,

77. EviMass A Literature Evidence Based Miner for Human Microbial Associations

Frontiers in Microbiology

13/09/2019

Krishanu Das Baksi, Divyanshu Srivastava, Sharmila S. Mande, Kuntal Kumar Bhusan,

78. Rewiring of Metabolic Network in Mycobacterium tuberculosis During Adaptation to Different Stresses

Frontiers in Microbiology

29/10/2019

Arvind J Shankar, Sharmila S. Mande, Anirban Dutta, Tungadri Bose,

79. Investigating host-bacterial interactions among enteric pathogens

BMC Genomics

27/12/2019

Tungadri Bose, Sharmila S. Mande,

80. A haplotype aware rule-based method for evaluating deleteriousness of variants present in an individual exome

International conference on Intelligent Systems for Molecular Biology

13.07.2020

Sutapa Datta,

81. De novo design of small molecules against drug targets of central nervous system using multi-property optimization

Neural Information Processing Systems

06.12.2020

Navneet Bung, Sowmya Rk, Roy Arijit

 

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