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Sravan Kumar Miryala

Vellore Institute of Technology University

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Sudha Ramaiah

Vellore Institute of Technology University

Anand Anbarasu

Vellore Institute of Technology University

Reetika Debroy

Vellore Institute of Technology University

Gayathri Ashok

Vellore Institute of Technology University

Aniket Naha

Pushpagiri Medical College

Saravanan Natarajan

National Institute of Research in Tuberculosis

P. V. Parvati Sai Arun

Chaitanya Bharathi Institute of Technology

Sreenivasulu Chintala

University of California, San Diego

Sailu Yellaboina

All India Institute of Medical Sciences

Maura A. Dankoski

Indiana University – Purdue University Indianapolis

Cooperative Institutions

Pondicherry University

University of Hyderabad

Vellore Institute of Technology University

University of Alabama at Birmingham

University of Alabama

Assam University

CR Rao Advanced Institute of Mathematics, Statistics and Computer Science

Indiana University – Purdue University Indianapolis

Indiana University School of Medicine

AdventHealth Orlando

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Systems biology tools for the identification of potential drug targets and biological markers effective for cancer therapeutics

Elsevier eBooks (2023)

Gayathri Ashok P. Priyamvada Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

Identification

Cancer drugs

10.1016/b978-0-443-15280-1.00015-7

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Discerning molecular interactions: A comprehensive review on biomolecular interaction databases and network analysis tools

Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

Interactome

Interaction network

Gene interaction

Gene regulatory network

Network Analysis

Protein Interaction Networks

Representation

10.1016/j.gene.2017.11.028

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Citations (133)

Integrated systems biology approach using gene network analysis to identify the important pathways and new potential drug targets for Neuroblastoma

Gene Reports (2021)

Gayathri Ashok Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

10.1016/j.genrep.2021.101101

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Systems biology approach to understand the interplay between Bacillus anthracis and human host genes that leads to CVDs

Microbial Pathogenesis (2023)

Shabduli Shinde Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

Bacillus anthracis

Anthrax toxin

10.1016/j.micpath.2023.106019

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Organ-specific host differential gene expression analysis in systemic candidiasis: A systems biology approach

Microbial Pathogenesis (2022)

Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

Systemic candidiasis

10.1016/j.micpath.2022.105677

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Elucidating the multi-drug resistance mechanism of Enterococcus faecalis V583: A gene interaction network analysis

Aniket Naha Sravan Kumar Miryala Reetika Debroy Sudha Ramaiah Anand Anbarasu

Efflux

Enterococcus faecalis

Lipid II

10.1016/j.gene.2020.144704

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Citations (41)

Cellular and molecular level host-pathogen interactions in Francisella tularensis: A microbial gene network study

Computational Biology and Chemistry (2021)

Sravan Kumar Miryala Sudha Ramaiah

Tularemia

Francisella

Human pathogen

Host–pathogen interaction

Infectivity

10.1016/j.compbiolchem.2021.107601

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Role of SHV-11, a Class A β-Lactamase, Gene in Multidrug Resistance Among Klebsiella pneumoniae Strains and Understanding Its Mechanism by Gene Network Analysis

Microbial Drug Resistance (2020)

Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

Aim: The rapid emergence of β-lactam resistance in gram-negative bacteria is a major problem in the treatment of infections caused by pathogenic bacterial strains, in particular Klebsiella pneumoniae. In our study, we are presenting a systems biology approach to understand the role of SHV-11 gene in drug resistance mechanism patterns in K. pneumoniae strain. Results: From the results, we have observed that the SHV-11 gene has a role in drug resistance mechanism along with its functional partner genes gyrA, parC, glsA, osmE, yjhA, yhdT, rimL, pepB, KPN_00437, and KPN_01875. We have also observed that of 51 genes, 27 genes were enriched in various Gene Ontology terms such as DNA metabolic process, DNA repair, and response to stress. The genes gyrA, parC, gyrB, parE, recA, dnaA, polB, dnaK, mutS, and dnaN constitute >41% of the total interactions; thus, these genes can be considered as hub nodes in the network, and they can be used as the potential drug targets. Conclusions: Drug exposure leads to the DNA damage in bacterial spp. We observed that the SHV11 gene along with the functional partners help in maintaining the genomic integrity by withstanding the environmental stress by inducing DNA damage repair mechanism. Our results provide a detailed understanding on the role of SHV-11 gene in drug resistance mechanisms in K. pneumoniae, and we are of the opinion that our results will be useful for researchers exploring the antibiotic resistance mechanisms in pathogenic bacteria.

10.1089/mdr.2019.0430

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Gene interaction network studies to decipher the multi-drug resistance mechanism in Salmonella enterica serovar Typhi CT18 reveal potential drug targets

Microbial Pathogenesis (2020)

Reetika Debroy Sravan Kumar Miryala Aniket Naha Anand Anbarasu Sudha Ramaiah

Efflux

Salmonella enterica

Major facilitator superfamily

10.1016/j.micpath.2020.104096

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Citations (49)

Integrated computational approaches to aid precision medicine for cancer therapy: Present scenario and future prospects

Elsevier eBooks (2023)

Hithesh Kumar Sravan Kumar Miryala Anand Anbarasu Sudha Ramaiah

Cancer Therapy

Cancer Medicine

10.1016/b978-0-443-15280-1.00008-x

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