A5011489319- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Topic Modeling
- Biofuel production and bioconversion
- Proteoglycans and glycosaminoglycans research
- Insect Pest Control Strategies
- Natural Language Processing Techniques
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Enzyme Catalysis and Immobilization
- Machine Learning and Algorithms
- Gut microbiota and health
- Tuberculosis Research and Epidemiology
- Computational Drug Discovery Methods
- Information Retrieval and Search Behavior
- Multimodal Machine Learning Applications
- Potato Plant Research
- Insect Resistance and Genetics
- Microbial Community Ecology and Physiology
- Plant Pathogens and Resistance
- Clay minerals and soil interactions
- Agricultural Practices and Plant Genetics
- Insect-Plant Interactions and Control
Indian Institute of Technology Madras
2016-2025
Intel (United States)
2016-2025
Robert Bosch (India)
2018-2024
Robert Bosch (Netherlands)
2017-2023
Google (United States)
2019-2022
Cornell University
1996-2022
Center for Global Development
2022
University of Utah
2010-2021
Visvesvaraya National Institute of Technology
2021
Fistula Foundation
2020
Systems level modelling and simulations of biological processes are proving to be invaluable in obtaining a quantitative dynamic perspective various aspects cellular function. In particular, constraint-based analyses metabolic networks have gained considerable popularity for simulating metabolism, which flux balance analysis (FBA), is most widely used. Unlike mechanistic that depend on accurate kinetic data, scarcely available, FBA based the principle conservation mass network, utilizes...
The milestone improvements brought about by deep representation learning and pre-training techniques have led to large performance gains across downstream NLP, IR Vision tasks. Multimodal modeling aim leverage high-quality visio-linguistic datasets for complementary information image text modalities. In this paper, we introduce the Wikipedia-based Image Text (WIT) Dataset better facilitate multimodal, multilingual learning. WIT is composed of a curated set 37.5 million entity rich image-text...
Abstract Background Tuberculosis still remains one of the largest killer infectious diseases, warranting identification newer targets and drugs. Identification validation appropriate for designing drugs are critical steps in drug discovery, which at present major bottle-necks. A majority current clinical use many diseases have been designed without knowledge targets, perhaps because standard methodologies to identify such a high-throughput fashion do not really exist. With different kinds...
Protein-protein interactions form the basis for a vast majority of cellular events, including signal transduction and transcriptional regulation. It is now understood that study between macromolecules fundamental to understanding biological systems. Interactions proteins have been studied through number high-throughput experiments also predicted an array computational methods leverage amount sequence data generated in last decade. In this review, I discuss some important prediction...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCatalytic hydrolysis of some organic phosphate pesticides by copper(II)Max M. Mortland and K. V. RamanCite this: J. Agric. Food Chem. 1967, 15, 1, 163–167Publication Date (Print):January 1967Publication History Published online1 May 2002Published inissue 1 January 1967https://pubs.acs.org/doi/10.1021/jf60149a015https://doi.org/10.1021/jf60149a015research-articleACS PublicationsRequest reuse permissionsArticle Views438Altmetric-Citations100LEARN...
Massive Online Open Courses have the potential to revolutionize higher education with their wide outreach and accessibility, but they require instructors come up scalable alternates traditional student evaluation. Peer grading -- having students assess each other is a promising approach tackling problem of evaluation at scale, since number "graders" naturally scales students. However, are not trained in grading, which means that one cannot expect same level skills as settings. Drawing on...
Mycobacterium tuberculosis is the focus of several investigations for design newer drugs, as remains a major epidemic despite availability drugs and vaccine. Mycobacteria owe many their unique qualities to mycolic acids, which are known be important growth, survival, pathogenicity. Mycolic acid biosynthesis has therefore been number biochemical genetic studies. It also turns out pathway inhibited by front-line anti-tubercular such isoniazid ethionamide. Recent years have seen emergence...
Abstract Steroidal glycoalkaloids (SGAs) are produced following the general steroid biosynthesis pathway, starting from acetyl-coenzyme A and followed by intermediates mevalonic acid, squalene, cycloartenol, cholesterol. α-Chaconine α-solanine main SGAs of cultivated potato (Solanum tuberosum), whereas many other known in wild species. Low concentrations improve taste potato, but greater than 200 mg/kg can have toxic effects on animals humans. antimicrobial activity confer resistance to some...
Emergence of drug resistant varieties tuberculosis is posing a major threat to global eradication programmes. Although several approaches have been explored counter resistance, there has limited success due lack understanding how resistance emerges in bacteria upon treatment. A systems level analysis the proteins involved essential gain insights into routes required for emergence resistance. We derive genome-scale protein-protein interaction network Mycobacterium H37Rv from STRING database,...
Genome-scale metabolic networks have been reconstructed for several organisms. These provide detailed information about the metabolism inside cells, coupled with genomic, proteomic and thermodynamic information. are widely simulated using 'constraint-based' modelling techniques find applications ranging from strain improvement engineering to prediction of drug targets in pathogenic Components these represented multiple file formats also different markup languages, varying levels annotations;...
Current research on web search has focused optimizing and evaluating single queries. However, a significant fraction of user queries are part more complex tasks [20] which span multiple across one or sessions [26,24]. An ideal engine would not only retrieve relevant results for user's particular query but also be able to identify when the is engaged in task aid completing that [29,1]. Toward whole-session relevance, we characterize address problem intrinsic diversity (ID) retrieval [30],...
Abstract Bifidobacteria, the initial colonisers of breastfed infant guts, are considered as key commensals that promote a healthy gastrointestinal tract. However, little is known about metabolic differences between different strains these bifidobacteria, and consequently, their suitability for varied commercial applications. In this context, present study applies constraint-based modelling approach to differentiate 36 important bifidobacterial strains, enhancing genome-scale models obtained...
Synthetic lethal reaction/gene-sets are sets of reactions/genes where only the simultaneous removal all in set abolishes growth an organism. In silico, synthetic can be identified by simulating effect gene from reconstructed genome-scale metabolic network Flux balance analysis (FBA), based on linear programming, has emerged as a powerful tool for silico analyses networks. To identify possible reactions combinations, exhaustive sampling combinations is computationally expensive. We surmount...
The recently proposed massively multilingual neural machine translation (NMT) system has been shown to be capable of translating over 100 languages and from English within a single model (Aharoni, Johnson, Firat 2019). Its improved performance on low resource hints at potential cross-lingual transfer capability for downstream tasks. In this paper, we evaluate the effectiveness representations encoder NMT 5 classification sequence labeling tasks covering diverse set 50 languages. We compare...
Abstract Background The International Space Station (ISS) stands as a testament to human achievement in space exploration. Despite its highly controlled environment, characterised by microgravity, increased CO $$_{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow /> <mml:mn>2</mml:mn> </mml:msub> </mml:math> levels, and elevated solar radiation, microorganisms occupy unique niche. These microbial inhabitants play significant role influencing the health...
Urban public transport systems, particularly metro networks, serve as key hubs for microbial transmission, yet the urban microbiome in densely populated regions like India remains poorly characterized. These environments harbor diverse communities, including both beneficial and pathogenic species, which can influence health. The COVID-19 pandemic has further highlighted need to monitor ecosystems, with respect antimicrobial resistance (AMR) genes that may have escalated due increased...