Prashanth Suravajhala

This study characterizes a multidrug-resistant Proteus mirabilis isolate from India, revealing AMR genes, virulence factors, and novel genomic features associated with its pathogenic potential.

The paper identifies common amino acid substitutions associated with azole resistance in Candida species by analyzing 2,222 resistant substitutions from literature.

This study benchmarks a consensus exome variant calling pipeline against GATK, showing higher Ti/Tv ratio and improved sensitivity in detecting clinically relevant variants in prostate cancer and rare disease samples.

The paper identifies three lncRNAs that interact with prostate cancer and androgen receptor-targeted proteins and suggests SCARNA10 as a prognostic signature for prostate cancer.

The paper analyzes virulence and antibiotic resistance genes in Helicobacter pylori and other campylobacteria, finding H. pylori has the highest number of virulence genes and unique patterns of resistance.

This study investigates anastrozole's effect on mitochondrial permeability transition pore (mPTP) by molecular docking, dynamics, and cell experiments, finding it more effective than cyclosporine A in inhibiting mPTP and improving mitochondrial function.

This paper explores integrative multi-omics approaches to identify therapeutic targets for cervical cancer by analyzing HT data and clinical information.

The paper investigates antibiotic-resistant gene prevalence and variability in Orientia tsutsugamushi and other rickettsial genomes, finding fewer but more variable resistant genes in O. tsutsugamushi compared to other rickettsiae.

The paper reports sequencing of the SARS-CoV-2 omicron variant in 13 Indian patients using Oxford Nanopore Minion technology to analyze 34 spike glycoprotein mutations.

The paper describes a machine intelligence competition aimed at improving 3D domain swapping prediction, resulting in enhanced predictive modeling through crowdsourced solutions.

The paper identifies genes and pathways associated with liver damage that may contribute to severe COVID-19 outcomes in Spanish and Italian populations.

The paper identifies rare de novo mutations in CPC patients using whole exome sequencing and highlights candidate genes associated with the disorder.

The paper benchmarks the cufflinks-cuffdiff pipeline for RNA-Seq analysis and provides a protocol for whole transcriptome shotgun sequencing and downstream analysis.

The paper introduces an updated database of hypothetical human proteins with enhanced features and functionalities.

The paper presents a web-resource curating nutrient use efficiency genes, QTLs, and microRNAs in cereals and model plants to aid research on nutrient uptake and utilization.

This paper describes a bioinformatics pipeline for whole exome sequencing, detailing processing steps from raw data to variant analysis and comparing variant callers like GATK and VarScan.

The paper identifies and characterizes miRNA-SSRs in Arabidopsis thaliana pre-miRNA sequences, finding they are abundant in non-coding regions and could serve as new markers for breeding.