Leveraging Cloud Computing for In-Silico Drug Design Using the Quantum Molecular Design (QMD) Framework
Abstract
The authors present quantum molecular design, a novel cost-saving automated framework for de novo computational drug design. This technology not only addresses many of the challenges faced in the computer-aided drug design field by using highly accurate physics-based models, it also dramatically lowers costs by leveraging an AI heuristic search algorithm with targeted chemical space.
Read the paper
Related studies
- Quantum dots: synthesis, bioapplications, and toxicity
- A Guide to In Silico Drug Design
- In silico toxicology protocols
- Automated in Silico Design of Homogeneous Catalysts
- In-silico strategies in nano-drug design: Bridging nanomaterials and pharmacological applications
- mRNA codon optimization with quantum computers
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.