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You searched for +publisher:"Indian Institute of Science" +contributor:("Chandra, Nagasuma"). Showing records 1 – 10 of 10 total matches.

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Indian Institute of Science

1. Nagarajan, Deepesh. Computational and Experimental Approaches to Protein Design.

Degree: PhD, Faculty of Science, 2018, Indian Institute of Science

 Protein design is a rapidly maturing field, with the goal of designing proteins with customized structures and functions. A large number of protein structures are… (more)

Subjects/Keywords: Protein Folding; Protein Design; De novo Proteins; PocketMatch; Protein Therapeutics; TIM Barrel Proteins; Antimicrobial Peptides; Long Short-term Memory (LSTM) Networks; Biochemistry

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APA (6th Edition):

Nagarajan, D. (2018). Computational and Experimental Approaches to Protein Design. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/4148

Chicago Manual of Style (16th Edition):

Nagarajan, Deepesh. “Computational and Experimental Approaches to Protein Design.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/4148.

MLA Handbook (7th Edition):

Nagarajan, Deepesh. “Computational and Experimental Approaches to Protein Design.” 2018. Web. 18 Jan 2021.

Vancouver:

Nagarajan D. Computational and Experimental Approaches to Protein Design. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/4148.

Council of Science Editors:

Nagarajan D. Computational and Experimental Approaches to Protein Design. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/4148


Indian Institute of Science

2. Anand, Praveen. Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery.

Degree: PhD, Faculty of Science, 2018, Indian Institute of Science

 BIOLOGICAL processes are governed through specific interactions of macromolecules. The three-dimensional structural information of the macromolecules is necessary to understand the basis of molecular recognition.… (more)

Subjects/Keywords: Protein-ligand Interactions; Anti-tubercular Drug Discovery; Protein Structure; Mycobacterium tuberculosis; Protein–ligand Complex Proteome; PDB Pocketome; Mycobacterium tuberculosis FtsZ; Helicobacter pylori DprA; Binding Site Analyses; PocketAnnotate; Protein-Ligand Interaction Clusters (PLIC); Mycobacterium tuberculosis Pocketome; Biochemistry

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APA (6th Edition):

Anand, P. (2018). Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3951

Chicago Manual of Style (16th Edition):

Anand, Praveen. “Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/3951.

MLA Handbook (7th Edition):

Anand, Praveen. “Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery.” 2018. Web. 18 Jan 2021.

Vancouver:

Anand P. Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/3951.

Council of Science Editors:

Anand P. Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3951


Indian Institute of Science

3. Padiadpu, Jyothi. An Integrated Systems Biology Approach to Study Drug Resistance in Mycobacteria.

Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science

 Emergence of drug resistance is a major problem in the treatment of many diseases including tuberculosis. To tackle the problem, it is essential to obtain… (more)

Subjects/Keywords: Drug Resistance Tuberculosis; Drug Resistance Mycobacteria; M. smegmatis; MC2 155; Mycobacterium smegmatis; M. tuberculosis; Anti-tubercular Drugs; Mycobacterium tuberculosis; Biochemistry

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APA (6th Edition):

Padiadpu, J. (2018). An Integrated Systems Biology Approach to Study Drug Resistance in Mycobacteria. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3750

Chicago Manual of Style (16th Edition):

Padiadpu, Jyothi. “An Integrated Systems Biology Approach to Study Drug Resistance in Mycobacteria.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/3750.

MLA Handbook (7th Edition):

Padiadpu, Jyothi. “An Integrated Systems Biology Approach to Study Drug Resistance in Mycobacteria.” 2018. Web. 18 Jan 2021.

Vancouver:

Padiadpu J. An Integrated Systems Biology Approach to Study Drug Resistance in Mycobacteria. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/3750.

Council of Science Editors:

Padiadpu J. An Integrated Systems Biology Approach to Study Drug Resistance in Mycobacteria. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3750


Indian Institute of Science

4. Mukherjee, Sumanta. Multi-scale Modelling of HLA Diversity and Its Effect on Cytotoxic Immune Responses in Influenza H1N1 Infection.

Degree: PhD, Faculty of Science, 2018, Indian Institute of Science

 Cytotoxic T-lymphocytes (CTLs) are important components of the adaptive immune system and function by scanning the intracellular environment so as to detect and de-stroy infected… (more)

Subjects/Keywords: Influenza H1N1 Infection; Cytotoxic T-lymphocytes (CTLs); Human Leucocyte Antigen (HLA); Cytotoxic Immune Responses Modeling; Human Immune System; Peptide Binding; Genetic Heterogeneity; Human Leucocyte Antigen (HLA) Genotype Modeling; Human Leucotyte Antigen (HLA) Gene Polymorphism; Structural Bioinformatics; HLAClassify; HLAffy; Flutope; Disease Spreader Network (DSN); Disease Dynamics; Mathematics

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APA (6th Edition):

Mukherjee, S. (2018). Multi-scale Modelling of HLA Diversity and Its Effect on Cytotoxic Immune Responses in Influenza H1N1 Infection. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3665

Chicago Manual of Style (16th Edition):

Mukherjee, Sumanta. “Multi-scale Modelling of HLA Diversity and Its Effect on Cytotoxic Immune Responses in Influenza H1N1 Infection.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/3665.

MLA Handbook (7th Edition):

Mukherjee, Sumanta. “Multi-scale Modelling of HLA Diversity and Its Effect on Cytotoxic Immune Responses in Influenza H1N1 Infection.” 2018. Web. 18 Jan 2021.

Vancouver:

Mukherjee S. Multi-scale Modelling of HLA Diversity and Its Effect on Cytotoxic Immune Responses in Influenza H1N1 Infection. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/3665.

Council of Science Editors:

Mukherjee S. Multi-scale Modelling of HLA Diversity and Its Effect on Cytotoxic Immune Responses in Influenza H1N1 Infection. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3665


Indian Institute of Science

5. Baloni, Priyanka. A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection.

Degree: PhD, Faculty of Science, 2018, Indian Institute of Science

 Mycobacterium tuberculosis, the etiological agent of tuberculosis, has adapted with the host environment and evolved to survive in harsh conditions in the host. The pathogen… (more)

Subjects/Keywords: Mycobacterium Tuberculosis; Systems Biology; Latent Tuberculosis Infection (LTBI); Tuberculosis; Tuberculosis Pathogenesis; Tuberculosis Infection-Host Immune Response; Tuberculosis Vaccines; Antitubercular Agents; Mtb; Mycobacterium smegmatis; Genome-scale Metabolic Model (GSM); Latent TB Infection; Molecular Biophysics

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APA (6th Edition):

Baloni, P. (2018). A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2967

Chicago Manual of Style (16th Edition):

Baloni, Priyanka. “A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/2967.

MLA Handbook (7th Edition):

Baloni, Priyanka. “A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection.” 2018. Web. 18 Jan 2021.

Vancouver:

Baloni P. A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/2967.

Council of Science Editors:

Baloni P. A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/2967


Indian Institute of Science

6. Bhagavat, Raghu B R. Structural Bioinformatics of Ligand Recognition in Proteins : A large-scale Analysis and Applications in Drug Discovery.

Degree: PhD, Faculty of Science, 2019, Indian Institute of Science

 Biological processes are governed by highly specific macromolecular interactions. Understanding the precise mechanism of ligand recognition in proteins is essential for deriving features responsible for… (more)

Subjects/Keywords: Protein-ligand Interactions; Ligand Recognition; Drug Discovery; Sialic Acid Binding Proteins; Pocketome; Nucleoside Diphosphate Kinase (NDK); Nucleotide Binding Proteins; Mycobacterial Genomes; Biotechnology

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APA (6th Edition):

Bhagavat, R. B. R. (2019). Structural Bioinformatics of Ligand Recognition in Proteins : A large-scale Analysis and Applications in Drug Discovery. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/4249

Chicago Manual of Style (16th Edition):

Bhagavat, Raghu B R. “Structural Bioinformatics of Ligand Recognition in Proteins : A large-scale Analysis and Applications in Drug Discovery.” 2019. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/4249.

MLA Handbook (7th Edition):

Bhagavat, Raghu B R. “Structural Bioinformatics of Ligand Recognition in Proteins : A large-scale Analysis and Applications in Drug Discovery.” 2019. Web. 18 Jan 2021.

Vancouver:

Bhagavat RBR. Structural Bioinformatics of Ligand Recognition in Proteins : A large-scale Analysis and Applications in Drug Discovery. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2019. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/4249.

Council of Science Editors:

Bhagavat RBR. Structural Bioinformatics of Ligand Recognition in Proteins : A large-scale Analysis and Applications in Drug Discovery. [Doctoral Dissertation]. Indian Institute of Science; 2019. Available from: http://etd.iisc.ac.in/handle/2005/4249


Indian Institute of Science

7. Dighe, Anasuya. Studies on Dynamic Plasticity of Ligand Binding Sites in Proteins.

Degree: PhD, Faculty of Science, 2019, Indian Institute of Science

 Molecular recognition between proteins and their associated ligands constitutes ligand-induced protein rewiring thereby enabling the formation of a stable protein-ligand complex. The studies presented in… (more)

Subjects/Keywords: Protein-ligand Interactions; Protein Ligand Interactions; Protein Structure Networks (PSNs); Graph Theory; Protein Side-chain Networks (PScN); Muscarinic Acetylcholine Receptors; Muscarinic Receptor Cmplexes; Protein-Protein Interactions; Pregnane X Receptor; G-Protein Coupled Receptors (GPCRs); Network Similarity Score (NSS); Biochemistry

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APA (6th Edition):

Dighe, A. (2019). Studies on Dynamic Plasticity of Ligand Binding Sites in Proteins. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/4236

Chicago Manual of Style (16th Edition):

Dighe, Anasuya. “Studies on Dynamic Plasticity of Ligand Binding Sites in Proteins.” 2019. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/4236.

MLA Handbook (7th Edition):

Dighe, Anasuya. “Studies on Dynamic Plasticity of Ligand Binding Sites in Proteins.” 2019. Web. 18 Jan 2021.

Vancouver:

Dighe A. Studies on Dynamic Plasticity of Ligand Binding Sites in Proteins. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2019. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/4236.

Council of Science Editors:

Dighe A. Studies on Dynamic Plasticity of Ligand Binding Sites in Proteins. [Doctoral Dissertation]. Indian Institute of Science; 2019. Available from: http://etd.iisc.ac.in/handle/2005/4236


Indian Institute of Science

8. Mehrotra, Prachi. Computational Studies on Structures and Functions of Single and Multi-domain Proteins.

Degree: PhD, Faculty of Science, 2018, Indian Institute of Science

 Proteins are essential for the growth, survival and maintenance of the cell. Understanding the functional roles of proteins helps to decipher the working of macromolecular… (more)

Subjects/Keywords: Proteins - Building Blocks; Protein Sequences; Protein Domain; Hidden Markov Models (HMM); Multi-domain Proteins; Mycobacterium smegmatis MC2-155; Mycobacterium tuberculosis; Proteomes; Leptospira Interrogans; Leptospira Biflexa Proteomes; Leptospira Biflexa Genomes; Mycobacterium tuberculosis H37Rv; Mathematics

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APA (6th Edition):

Mehrotra, P. (2018). Computational Studies on Structures and Functions of Single and Multi-domain Proteins. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3611

Chicago Manual of Style (16th Edition):

Mehrotra, Prachi. “Computational Studies on Structures and Functions of Single and Multi-domain Proteins.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/3611.

MLA Handbook (7th Edition):

Mehrotra, Prachi. “Computational Studies on Structures and Functions of Single and Multi-domain Proteins.” 2018. Web. 18 Jan 2021.

Vancouver:

Mehrotra P. Computational Studies on Structures and Functions of Single and Multi-domain Proteins. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/3611.

Council of Science Editors:

Mehrotra P. Computational Studies on Structures and Functions of Single and Multi-domain Proteins. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3611


Indian Institute of Science

9. Gadiyaram, Vasundhara. Graph Spectral Methods for Analysis of Protein Structures.

Degree: PhD, Faculty of Science, 2019, Indian Institute of Science

 Network representation of protein structures is an information-rich mode of examining protein structure, dynamics and its interactions with biomolecules. Graph spectral methods are extremely useful… (more)

Subjects/Keywords: Protein Structure Networks (PSN); Spectral Theory; Protein Structure Models; Spectral Graph Theory; G-Protein Coupled Receptors; Graph Spectral Method; Correspondence Score (CRS); Eigenvalue-Weighted Cosine Score (EWCS); Eigenvalue-Weighted Cosine Score (EWCS); Network Similarity Score (NSS); Mathematics

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APA (6th Edition):

Gadiyaram, V. (2019). Graph Spectral Methods for Analysis of Protein Structures. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/4280

Chicago Manual of Style (16th Edition):

Gadiyaram, Vasundhara. “Graph Spectral Methods for Analysis of Protein Structures.” 2019. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/4280.

MLA Handbook (7th Edition):

Gadiyaram, Vasundhara. “Graph Spectral Methods for Analysis of Protein Structures.” 2019. Web. 18 Jan 2021.

Vancouver:

Gadiyaram V. Graph Spectral Methods for Analysis of Protein Structures. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2019. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/4280.

Council of Science Editors:

Gadiyaram V. Graph Spectral Methods for Analysis of Protein Structures. [Doctoral Dissertation]. Indian Institute of Science; 2019. Available from: http://etd.iisc.ac.in/handle/2005/4280


Indian Institute of Science

10. Raman, Karthik. Systems-Level Modelling And Simulation Of Mycobacterium Tuberculosis : Insights For Drug Discovery.

Degree: PhD, Faculty of Engineering, 2010, Indian Institute of Science

 Systems biology adopts an integrated approach to study and understand the function of biological systems, particularly, the response of such systems to perturbations, such as… (more)

Subjects/Keywords: Microbacterium Tuberculosis - Modeling And Simulation; Pathway Modelling; Drug Discovery; Target Identification; Systems Biology; Tuberculosis; Biological Networks; Mycolic Acid Pathway; Protein-Protein Interactions; Drug Resistance; TargetTB; Mtb; Mycolic Acid Biosynthesis Pathway (MAP); Pathway–pathway Networks; Systems Biology

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APA (6th Edition):

Raman, K. (2010). Systems-Level Modelling And Simulation Of Mycobacterium Tuberculosis : Insights For Drug Discovery. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/685

Chicago Manual of Style (16th Edition):

Raman, Karthik. “Systems-Level Modelling And Simulation Of Mycobacterium Tuberculosis : Insights For Drug Discovery.” 2010. Doctoral Dissertation, Indian Institute of Science. Accessed January 18, 2021. http://etd.iisc.ac.in/handle/2005/685.

MLA Handbook (7th Edition):

Raman, Karthik. “Systems-Level Modelling And Simulation Of Mycobacterium Tuberculosis : Insights For Drug Discovery.” 2010. Web. 18 Jan 2021.

Vancouver:

Raman K. Systems-Level Modelling And Simulation Of Mycobacterium Tuberculosis : Insights For Drug Discovery. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2010. [cited 2021 Jan 18]. Available from: http://etd.iisc.ac.in/handle/2005/685.

Council of Science Editors:

Raman K. Systems-Level Modelling And Simulation Of Mycobacterium Tuberculosis : Insights For Drug Discovery. [Doctoral Dissertation]. Indian Institute of Science; 2010. Available from: http://etd.iisc.ac.in/handle/2005/685

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