Case Studies

Leveraging MedGraph EDGE for deep insights into drug discovery, gene modulation, & disease mechanisms, powered by cutting-edge AI and proprietary datasets.

Target enzymes involved in specific bacterial reproduction and metabolic pathways were to be identified and prioritized for in silico repurposing efforts.

Provide automated curation for annotating genetic variants and gene-drug-disease relationships from published literature in the theraputic area.

Repurpose clinically approved compounds for a protein domain implicated in cellular repair mechanisms using computational screening.

Generate de novo molecules for high impact targets belonging to Tyrosine Kinase family involved in neuroptosis and inflammatory pathways.

Lead molecular candidates identified in a de novo NCE project needed to be assessed in depth for selectivity and specificity in binding and off-target effects.

Medvolt has a dedicated fragment library which is highly diverse and is curated from literature using Natural Language Processing (NLP) & Generative AI.

We offer two approaches: target-based drug repurposing, identifying potent drugs for a given target, and compound-based drug repurposing, finding new therapeutic areas for a given compound.

Repurpose existing approved and clinical stage drugs and compounds for new medical indications with pharmacology, formulation and toxicity data.

Leverage advanced NLP/ML and MD technologies to optimize lead oncology entities targeting a regulatory protein, streamlining candidate selection for preclinical development through simulations and energy calculations.