SaaS Metrics
Abstract
Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various generative models already in widespread use. Generative models for de novo drug design, in particular, focus on the creation of novel biological compounds entirely from scratch, representing a promising future direction. Rapid development in the field, combined with the inherent complexity of the drug design process, creates a difficult landscape for new researchers to enter. In this survey, we organize de novo drug design into two overarching themes: small molecule and protein generation. Within each theme, we identify a variety of subtasks and applications, highlighting important datasets, benchmarks, and model architectures and comparing the performance of top models. We take a broad approach to AI-driven drug design, allowing for both micro-level comparisons of various methods within each subtask and macro-level observations across different fields. We discuss parallel challenges and approaches between the two applications and highlight future directions for AI-driven de novo drug design as a whole. An organized repository of all covered sources is available at https://github.com/gersteinlab/GenAI4Drug.
Academic Publication A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Research Abstract & Technology Focus
AI Semantic Synergy Context
Connecting this academic literature to real-world market discussions and products.
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Abstract Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various generative models already in widespread use. Generat...
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
Abstract With their diverse biological activities, peptides are promising candidates for therapeutic applications, showing antimicrobial, antitumour and hormonal signalling capabilit...
Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
Artificial intelligence (AI) encompasses a broad spectrum of techniques that have been utilized by pharmaceutical companies for decades, including machine learning, deep learning, and other advance...
Biomni: A General-Purpose Biomedical AI Agent
Abstract Biomedical research underpins progress in our understanding of human health and disease, drug discovery, and clinical care. However, with the growth of c...
Testing the predictive power of reverse screening to infer drug targets, with the help of machine learning
AbstractEstimating protein targets of compounds based on the similarity principle—similar molecules are likely to show comparable bioactivity—is a long-standing strategy in drug research. Having pr...
Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation'?
This literature focuses on: Abstract Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various generative models already in widespread use. Generative models for de novo drug design, in particular,...
Are there open-source GitHub repositories related to A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation?
Yes, open-source projects like slowmist/openclaw-security-practice-guide (This guide is designed for OpenClaw itself (Agent-facing), not as a traditional human-only hardening checklist.) are actively building upon these concepts.
Which startups are commercializing the technology behind A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation?
Products like ShowcasePro are bringing this to market. Their focus is: Convert photos into elegant designs for marketing + sharing.
What other academic literature is closely related to 'A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation'?
Yes, highly correlated activity was mapped. An entry titled 'A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation' discusses this: Abstract Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various ge...
Cite this Market Intelligence Report
Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.
Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
-
GitHubslowmist/openclaw-security-practice-guide
-
GitHubgarrytan/gstack
-
Product HuntShowcasePro
-
Product HuntGeneratePPT