A5003457827- Tuberculosis Research and Epidemiology
- Computational Drug Discovery Methods
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Biofuel production and bioconversion
- Microbial Community Ecology and Physiology
- Genetics, Bioinformatics, and Biomedical Research
- Biochemical and Molecular Research
- Chronic Lymphocytic Leukemia Research
- Enzyme Catalysis and Immobilization
- Microbial Natural Products and Biosynthesis
- Gene Regulatory Network Analysis
- vaccines and immunoinformatics approaches
- Mycobacterium research and diagnosis
- Algal biology and biofuel production
- Machine Learning in Bioinformatics
- Ubiquitin and proteasome pathways
- Peptidase Inhibition and Analysis
- ATP Synthase and ATPases Research
- Cholinesterase and Neurodegenerative Diseases
- Wastewater Treatment and Nitrogen Removal
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Materials Science
- Genomics and Phylogenetic Studies
University of California, San Diego
2020-2025
Council of Scientific and Industrial Research
2011-2019
Institute of Microbial Technology
2017-2019
Academy of Scientific and Innovative Research
2019
Open Source Drug Discovery
2012
Diatoms are major players in the global carbon cycle, and their metabolism is affected by ocean conditions. Understanding impact of changing inorganic nutrients oceans on diatoms crucial, given changes dioxide levels. Here, we present a genome-scale metabolic model (
Tuberculosis (TB) is still a major global health challenge, killing over 1.5 million people each year, and hence, there need to identify develop novel treatments for Mycobacterium tuberculosis (M. tuberculosis). The prevalence of infections caused by nontuberculous mycobacteria (NTM) also increasing has overtaken TB cases in the United States much developed world. abscessus abscessus) one most frequently encountered NTM difficult treat. We describe use drug-disease association using semantic...
The denitrifying bacterium Thauera sp. MZ1T, a common member of microbial communities in wastewater treatment facilities, can produce different compounds from range carbon (C) and nitrogen (N) sources under aerobic anaerobic conditions. In these conditions, modifies its metabolism to that influence the community. particular, MZ1T produces exopolysaccharides with floc-forming properties, impacting physical disposition consortia efficiency nutrient assimilation by Under N-limiting decreases...
A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen light day. This not only indicates challenges in discovering new drugs but also suggests a gap our current understanding Mtb biology. We attempt to bridge this by carrying out extensive re-annotation and constructing systems level protein interaction map with an objective finding novel target candidates. Towards this, we synergized crowd sourcing social networking methods through...
Tuberculosis (TB) is the world's leading infectious killer with 1.8 million deaths in 2015 as reported by WHO. It therefore imperative that alternate routes of identification novel anti-TB compounds are explored given time and costs involved new drug discovery process. Towards this, we have developed RepTB. This a unique repurposing approach for TB uses molecular function correlations among known drug-target pairs to predict interactions. In this study, created Gene Ontology based network...
Nitrogen fixation is an important metabolic process carried out by microorganisms, which converts molecular nitrogen into inorganic nitrogenous compounds such as ammonia (NH3). These are crucial for biogeochemical cycles and the synthesis of essential biomolecules, i.e. nucleic acids, amino acids proteins. Azotobacter vinelandii a bacterial non-photosynthetic model organism to study aerobic (diazotrophy) hydrogen production. Moreover, diazotroph can produce biopolymers like alginate...
Molecular Property Diagnostic Suite ( $$\text {MPDS}^{\mathrm{TB}}$$ ) is a web tool http://mpds.osdd.net designed to assist the in silico drug discovery attempts towards Mycobacterium tuberculosis (Mtb). has nine modules which are classified into data library (1–3), processing (4–5) and analysis (6–9). Module 1 repository of literature related information available on Mtb. 2 deals with protein target chosen disease area. 3 compound consisting 110.31 million unique molecules generated from...
Experimental screening of chemical compounds for biological activity is a time consuming and expensive practice. In silico predictive models permit inexpensive, rapid "virtual screening" to prioritize selection experimental testing. Both in can be used test desirable or undesirable properties. Prior work on prediction mutagenicity has primarily involved identification toxicophores rather than whole-molecule models. this work, we examined range classification mutagenic properties compounds,...
Abstract With the advent of High Throughput Screening techniques, it is feasible to filter possible leads from a mammoth chemical space that can act against particular target and inhibit its action. Virtual screening complements in-vitro assays which are costly time consuming. This process used sort biologically active molecules by utilizing structural information compounds proteins in order screen potential hits. Various data mining machine learning tools utilize Molecular Descriptors...