Microbial biopesticide and plant probiotic solutions for enhanced crop yield and soil health
A metagenomics-based approach to identify and validate naturally occurring microbes that act as both biopesticides and crop growth promoters. Targets commercially important crops such as wheat, maize, rice, peanut, and s...
Novel thiole di-oxide derivative targeting LAMP-1 for PET imaging of lysosomal storage diseases
Computationally designed small molecule ligand that binds LAMP-1, a key lysosomal membrane protein. Developed through pharmacophore modeling and screening of 19M synthetic compounds, the lead candidate shows strong Caco-...
Integrative in-silico screening for SGLT1 and GLUT5 modulators
Computational screening platform that identifies and ranks potential inhibitors and activators of SGLT1 and GLUT5 glucose and fructose transporters. Combines molecular docking, pharmacophore modeling, machine learning, a...
Novel nutritional formulation for telomere stability and healthy aging
A GRAS-safe oral supplement combining Astragalus membranaceus with vitamin D and omega-3 fatty acids, designed to support optimal telomere maintenance and promote healthy aging. Developed through computational screening ...
Targeted small molecule strategy against collagen α-3(iv) for anti-gbm disease
A computational drug discovery approach identifying natural small molecules that bind collagen alpha-3(IV) to block autoantibody interactions in Goodpasture syndrome. The strategy aims to halt the immune cascade causing ...
Targeting novel metacaspase effector to develop antifungal strategies against rhizoctonia solani
Genome-wide identification of seven novel effectors in Rhizoctonia solani, a major rice pathogen, with focus on RS107_6, a metacaspase protein. This research enables design of novel antifungal compounds by targeting effe...
Benzoxadiazole derivatives as TAL effector antagonists for rice bacterial blight control
In silico-validated library of benzoxadiazole derivatives designed to block TAL effector (PthXo1) binding to rice DNA, offering a novel small-molecule strategy to prevent Xanthomonas oryzae bacterial blight in rice crops...
Ethylhexylglycerin as a safe and eco-friendly alternative to isothiazolinone preservatives in all-purpose cleaners
A research initiative exploring Ethylhexylglycerin as a safer, more stable, and biodegradable alternative to Isothiazolinone-based preservatives in all-purpose cleaning products. The project aims to validate its antimicr...
Computationally designed AOPP herbicide compounds targeting echinochloa with improved selectivity and safety
Novel herbicide candidates designed using a cyhalofop-butyl pharmacophore template and validated through molecular docking, MD simulations, and in-silico safety profiling. The compounds target acetyl-CoA carboxylase in b...
Succinate dehydrogenase inhibitors for fusarium head blight control
Computationally identified milbemycin-class fungicide actives targeting Fusarium graminearum succinate dehydrogenase to control Fusarium head blight disease, with potential dual anti-fungal and anti-bacterial activity.
Crispr-cas9 genome editing platform for drought-tolerant millets
A research platform applying CRISPR-Cas9 base editing and omics approaches to develop multi-stress resilient Proso and Finger Millet varieties. Targets drought-tolerance genes homologous to validated rice candidates to i...
Plant-derived metabolite screening platform for diamondback moth insecticide resistance
High-throughput computational screening platform that identifies plant-derived metabolites binding to detoxification enzymes in Diamondback moth, offering a novel mode of action to curb insecticide resistance and restore...
Antagonist design targeting allatostatin C protein for rice stem borer pest control
Computationally designed small-molecule antagonists targeting the Allatostatin C neuropeptide pathway in Chilo suppressalis (Asiatic rice borer). Lead compounds have been identified through molecular docking and in-silic...
Chemogenomics approach to enhance ABA biosynthesis for improved plant drought resistance
A chemogenomics platform leveraging small molecules and targeted mutagenesis to increase abscisic acid (ABA) biosynthesis in plants. Validated in rice under mild drought stress with improved stomatal conductance, spikele...
Quats-mimicking antimicrobial compounds for safer cleaning and disinfection formulations
Computationally identified antimicrobial actives that mimic the molecular backbone of quaternary ammonium compounds (QUATS) while reducing toxicity and environmental impact. Designed as drop-in alternatives for disinfect...
Isoquinoline derivatives for ossweet11 inhibition and sheath blight disease resistance in rice
Green synthesis of isoquinoline derivatives that bind to the sugar transporter OsSWEET11, inhibiting it in mesophyll cells to improve rice resistance against sheath blight disease. Offers high atom economy, biodegradable...
Novel probiotics to enhance soyabean and maize crop growth and development
A research-driven solution developing microbial crop probiotics that fix atmospheric nitrogen to boost soyabean and maize yields. By leveraging naturally occurring nitrogen-fixing bacteria, the approach reduces fertilize...
Iot-based AI prediction system for early and late blight disease in tomato crops
An IoT sensor module combined with AI classifiers (ANN and SVM) that predicts the onset of early and late blight disease in tomato crops across individual growth stages. The system uses real-time weather and soil data to...
Genetic modelling of rice for enhanced water use efficiency
A genomics-assisted breeding program to develop superior rice cultivars with improved water productivity by deciphering the genetic subcomponents of transpiration and photosynthetic carbon assimilation. The research comb...
In silico cuticle model for fungicide kinetics simulation
This in silico cuticle model enables precise simulation of fungicide kinetics, integrating cuticle composition and structure to optimize fungicide efficacy on crops like wheat and soybean. It offers a cost-effective meth...
Wearable sweat sensor for real-time hormone monitoring
Innovative wearable device detecting estrogen and progesterone in sweat to monitor menstrual cycle phases, enabling personalized lifestyle insights. Non-invasive, real-time, and seamlessly integrates with digital platfor...
Therapeutic natural metabolites for alzheimer's disease treatment
This research identifies natural metabolites that inhibit Aβ-peptide aggregation and promote disaggregation of amyloid fibrils, aiming to mitigate Alzheimer's disease progression. Initial in-silico studies show promise, ...
Quantum algorithm for efficient spectral property prediction of isomeric molecules
A cutting-edge quantum algorithm utilizing QSVT and RBCFP methodologies to enhance the efficiency and accuracy of predicting spectral properties of isomeric molecules. Designed to surpass classical DFT limitations with r...
Ai-enhanced hybrid docking and MD simulation framework for molecular interactions
A high-throughput framework integrating AI-driven hybrid models with molecular dynamics to enhance predictive accuracy of molecular interactions with substrates like hair and skin. Ideal for cosmetic and detergent formul...
Bio-based polymers as sustainable cross-linkers
Explore bio-based polymers like chitosan, fucoidan, and dextran as sustainable cross-linkers. These polymers promise high cross-linking density, biodegradability, and improved material performance, suitable for advanced ...
Phb-kappa carrageenan composites for enhanced HDPE barrier properties
Introducing PHB-Kappa Carrageenan composites into HDPE containers reduces chemical permeation, offering a sustainable alternative to traditional barrier methods. The composites enhance thermal stability and tensile stren...
High-throughput virtual screening of natural compounds for appetite control
A high-throughput virtual screening platform to identify natural compounds that act as GLP-1 receptor agonists for appetite regulation, offering a natural alternative to traditional medications. Targeting integration int...
Dual-stage microbial reduction in wheat flour using UV-C and electrolyzed water
A scalable, cost-effective solution integrating UV-C light and electrolyzed water to enhance microbial safety in wheat flour without compromising quality. This dual-stage approach targets E. coli, Salmonella, and Enterob...
Isoflavone-based estrogen mimics for enhanced hair growth
Developing natural isoflavone compounds that mimic estrogen to promote hair growth by binding to estrogen receptors in hair follicles. These compounds show excellent safety profiles and binding efficiency, with promising...
AI/ML model based prognostic mtdna biomarkers for neurodegenerative disorders
Innovative AI/ML models leverage mtDNA biomarkers for early diagnosis and personalized treatment of neurodegenerative diseases, offering targeted therapeutic suggestions and drug repurposing opportunities.
Chitosan-based biopolymer microbicides for treating vaginal yeast infections
This technology leverages chitosan's antifungal and biofilm-disrupting properties to enhance the efficacy of existing antifungal treatments for recurrent vaginal yeast infections, offering a potentially safer and more ef...
Novel benzimidazole derivatives targeting maturase K for sustainable weed control
Innovative benzimidazole derivatives target maturase K in weeds, offering a focused approach to weed control. This method leverages the enzyme's role in growth, aiming to reduce pesticide resistance and environmental imp...
Natural mosquito repellents using thymol and geraniol
Developing safe and eco-friendly mosquito repellents using thymol and geraniol, leveraging computational simulations to target mosquito-specific proteins and reduce toxicity compared to synthetic repellents.
Machine-learning aided identification of non-antibiotic natural bgcs in bacteria
A cutting-edge bioinformatics solution utilizing machine learning to identify novel non-antibiotic natural products in bacteria by refining BGC predictions and integrating metabolite analysis.
Ai-driven molecular design to inhibit protein-protein interactions
Leveraging NVIDIA's EquiDock, this AI-based solution designs bifunctional small molecules targeting both active sites and protein-protein interfaces to disrupt interactions, accelerating PPI inhibitor discovery for thera...
Innovative permeation approach for enhanced cockroach elimination
An advanced insecticide formulation using pyrethroid derivatives to improve cuticle penetration in cockroaches, enhancing pest control efficacy and addressing insecticide resistance. This solution integrates computationa...
Novel polymer micelles for targeted drug delivery in pancreatic cancer
Introducing novel polar polymer micelles designed for effective drug delivery in pancreatic ductal adenocarcinoma. These micelles penetrate the extracellular matrix, enhancing drug delivery to tumor cells and improving t...
Haa-1 transcription factor inhibition for natural food preservation
Innovative approach targeting Haa-1 transcription factor in Zygosaccharomyces bailii to inhibit yeast adaptation in acidic environments, offering a natural alternative to artificial preservatives in food preservation.
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