Allesh Biosciences Labs Pvt. Ltd. - Employees, Business, Industry & CEO

Allesh Biosciences Labs Pvt. Ltd. was founded in 2009.

Allesh Biosciences Labs Pvt. Ltd. headquarters are in Bengaluru, Karnataka, India.

Allesh Biosciences Labs Pvt. Ltd. has 2 employees.

Allesh Biosciences Labs Pvt. Ltd. is in pharmaceutical manufacturing sector.

Yes, Allesh Biosciences Labs Pvt. Ltd. is a private company.

Contract research organization (cro) | computer aided drug discovery | computational chemistry allesh biosciences labs focuses on drug discovery research, simulation studies of structure and reactivity of macromolecules, chemical and biological systems, by the application of molecular mechanics, quantum mechanics and molecular dynamics methods. alleshbio integrates cutting-edge in-silico prototyping and virtual high-throughput screening technologies to accelerate identification of potential hit molecules, and its optimization to drug leads. alleshbio offers in silico technologies and services to augment lab-based research so as to accelerate discovery and minimize expenses. alleshbio leverages on computational chemistry and chemogenomics approaches in identifying potential novel targets and “personalized” targets. virtual high throughput screening (vhts) and in silico adme/toxicity prediction models being used in identification and obtention of hits and lead molecules. alleshbio has its objective to help resolve the drug-discovery research challenges faced by pharmaceutical and drug discovery companies when it comes to target identification, target validation, and hit-to-lead optimization. the capabilities include, but not limited to: - virtual high throughput screening by docking or pharmacophore design - free energy simulations for improved binding affinity models - qsar and pharmacophore based predictive models for ligand optimization - virtual library design of synthetically tractable compounds - small organic molecule library enumeration

Allesh Biosciences Labs Pvt. Ltd. specialises into Computer-aided Drug Design, Computational Chemistry, Chemogenomics, Qsar, Qspr, Protein-target Druggability Assessment, Pharmacophore Design, Design Of Synthetically Tractable Compounds, Drug Discovery, Cheminformatics, Materials Design, Toxicity Prediction, Admet, Lead Optimization, Virtual High Throughput Screening, Fragment Based Drug Design, De Novo Design, Biorenewables, Structure Based Drug Design, Ligand Based Drug Design, Receptor Binding, Hybrid Qm-mm Methods, Target Identification, Organic Chemistry, Dft, Docking, Protein - Ligand Interactions, Electronic Interactions, Mutliscale Modeling

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