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Institution

SRM University

EducationChennai, India
About: SRM University is a education organization based out in Chennai, India. It is known for research contribution in the topics: Computer science & Population. The organization has 10787 authors who have published 11704 publications receiving 103767 citations. The organization is also known as: Sri Ramaswamy Memorial University.


Papers
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Journal ArticleDOI
TL;DR: A novel genomics approach is demonstrated in which codon adaptation index (CAI), a measure used to predict the translational efficiency of a gene based on synonymous codon usage, is coupled with subtractivegenomics approach for mining potential drug targets, thereby enabling the search for new inhibitors.
Abstract: In recent years, genome-sequencing projects of pathogens and humans have revolutionized microbial drug target identification. Of the several known genomic strategies, subtractive genomics has been successfully utilized for identifying microbial drug targets. The present work demonstrates a novel genomics approach in which codon adaptation index (CAI), a measure used to predict the translational efficiency of a gene based on synonymous codon usage, is coupled with subtractive genomics approach for mining potential drug targets. The strategy adopted is demonstrated using respiratory pathogens, namely, Streptococcus pneumoniae and Haemophilus influenzae as examples. Our approach identified 8 potent target genes (Streptococcus pneumoniae–2, H. influenzae–6), which are functionally significant and also play key role in host-pathogen interactions. This approach facilitates swift identification of potential drug targets, thereby enabling the search for new inhibitors. These results underscore the utility of CAI for enhanced in silico drug target identification.

44 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed that the vaccination of contamination debasing microorganisms on plant seed can be a critical added substance to improve the productivity of phytoremediation or bioaugmentation.
Abstract: Over most recent couple of decades, the contamination of water and soil has turned into a remarkable risk to biological community and human health. Plant-based remediation of contaminants is a reasonable method to battle the terrible truth of defilement. Rhizoremediation, a particular sort of phytoremediation that includes the two plants and their related rhizosphere microorganisms, can happen normally, or can be impelled by intentionally presenting explicit organisms. Since it is a plant situated in-situ phytorestoration system it is turned out to be conservative, productive and simple to actualize under field conditions. Though there are several remediation processes already exist, they failed to degrade the contaminants completely. During the rhizoremediation process, the plant roots secreted the exudates which will enhance or stimulates the growth and activity of microbial community in the rhizosphere. This results in effective degradation of pollutants. The plant root arrangement will spread the microbes through the soil and also helps to permeate even in the impermeable soil layers. Due to its advantages this might be effective in the future for the degradation of contaminants. The vaccination of contamination debasing microorganisms on plant seed can be a critical added substance to improve the productivity of phytoremediation or bioaugmentation. Determination of right microorganisms and vaccination to seed foundations of appropriate plant species will broaden the points of view of rhizoremediation.

44 citations

Journal ArticleDOI
TL;DR: This work demonstrates a completely new material with the combination of ordered mesostructures with P co-doping in carbon nitride substructure which offers superior performance for LIB and hence it is believed that this work will create a new momentum for the design and development of clean energy storage devices.
Abstract: Herein, we demonstrate a simple and unique strategy for the preparation of P-doped into the substructure of mesoporous carbon nitride materials (P-MCN-1) with ordered porous structures as a high-energy and high-power Li-ion battery (LIB) anode. The P-MCN-1 as an anode in LIB delivers a high reversible discharge capacity of 963 mAh g-1 even after 1000 cycles at a current density of 1 A g-1, which is much higher than that of other counterparts comprising s-triazine (C3H3N3, g-C3N4), pristine MCN-1, and B-containing MCN-1 (B-MCN-1) subunits or carbon allotropes like CNT and graphene (rGO) materials. The P-MCN-1 electrode also exhibits exceptional rate capability even at high current densities of 5, 10, and 20 A g-1 delivering 685, 539, and 274 mAh g-1, respectively, after 2500 cycles. The high electrical conductivity and Li-ion diffusivity (D), estimated from electrochemical impedance spectra (EIS), very well support the extraordinary electrochemical performance of the P-MCN-1. Higher formation energy, lower bandgap value, and high Li-ion adsorption ability predicted by first principle calculations of P-MCN-1 are in good agreement with experimentally observed high lithium storage, stable cycle life, high power capability, and minimal irreversible capacity (IRC) loss. To the best of our knowledge, it is an entirely new material with the combination of ordered mesostructures with P codoping in carbon nitride substructure which offers superior performance for LIB, and hence we believe that this work will create new momentum for the design and development of clean energy storage devices.

43 citations

Journal ArticleDOI
TL;DR: This paper develops an Ontology and Context Based Recommendation System (OCBRS) to assess the context of and determine the opinion of the review, and proposes a Neuro-Fuzzy Classification approach using fuzzy rules to extract the contextof the review.

43 citations

Journal ArticleDOI
TL;DR: In this article, the influence of Fe doping on the structural, morphological, optical and electrical properties of CdO thin films were systematically investigated using different characterization techniques such as X-ray diffraction (XRD), atomic force microscope (AFM), UV-vis transmittance and Hall measurement respectively.

43 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023190
2022455
20212,917
20201,738
20191,361
20181,306