Drug Discovery
5 articles
Four Compound Classes That Make the Deep Sea a Drug Discovery Frontier
The deep sea's extreme conditions foster unique bioactive compounds, presenting a promising frontier for drug discovery. Researchers are exploring key compound classes but face significant challenges in accessing organisms and scaling production for therapeutic development.
Where Quantum Computing Actually Helps in Drug Discovery—and How to Tell If Your Problem Qualifies
Quantum computing is a specialized tool for computationally intractable pre-clinical drug discovery problems, with near-term value found in hybrid quantum-classical approaches for molecular simulation and protein folding. Evaluating its applicability requires identifying classical bottlenecks, matching them with specific quantum algorithms, and assessing feasibility within current hardware constraints.
From Variant Calling to Drug Discovery: How AI Is Reshaping Genomics Research
Artificial intelligence is fundamentally reshaping genomics research by enabling the analysis of massive sequencing data volumes, accelerating drug discovery, and advancing personalized medicine. Machine learning tools are essential for extracting meaningful insights from exabyte-scale datasets, transforming everything from variant calling to clinical decision-making.
Insilico Medicine Unveils AI Toolkit for Aging Research
An AI-designed drug, rentosertib, has already demonstrated its capability to reverse predicted biological age by up to six years in a specific aging clock during a Phase 2a trial.
7 Emerging Technologies Accelerating Scientific Discovery
A new multi-agent AI system from Google DeepMind, Co-Scientist, recently identified drug candidates for liver fibrosis; one blocked 91% of a scarring-linked response in lab tests, according to Google