Reviewnpj drug discovery2025
Navigating structure-based drug discovery with emerging innovations in physics- and knowledge-based approaches.
Review in npj drug discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Interpreting human genetic variation at atomic resolution.Nature genetics · 2026Review
- New paradigm of q-CAR drug development targeting disease-specific protein conformations.npj drug discovery · 2026Review
- Integrated Molecular Docking and Molecular Dynamics Approaches Reveal Potential Antimicrobial Metabolites from Echinoderms,Biology · 2026Article
- Circumventing the Synthesizability Problem in Generative Molecular Design.Journal of chemical information and modeling · 2026Article
- Fungal Carbonic Anhydrases: A Systematic Review from Molecular Profiling to Pathogenic Regulation inJournal of fungi (Basel, Switzerland) · 2026Review
- From physics-based intelligence to molecular design: linking mechanistic learning across scales.MedScience · 2026Article
- Structural and Computationally Driven Molecule Design in Drug Discovery: Current Advances and Future Perspectives.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Docking of virtual libraries identifies small-molecule agonists of neurotensin receptors with analgesic activity.Nature communications · 2026Article
- PROPTIMUS LIVE: local constrained α-carbon optimization of proteins.Nucleic acids research · 2026Article
- Structure-guided compound prioritization strategy for virtual screening identifies putative binders for the nuclear receptor LRH-1.bioRxiv : the preprint server for biology · 2026Article
- Chemical Profiling, Pharmacological Activities, and Toxicity Assessment ofFood science & nutrition · 2026Article
- Open-Source Molecular Docking and AI-Augmented Structure-Based Drug Design: Current Workflows, Challenges, and Opportunities.International journal of molecular sciences · 2026Review
- Circumventing the synthesizability problem in generative molecular design.bioRxiv : the preprint server for biology · 2026Article
- Integrated framework for targeting dynamic penicillin-binding protein 2a via ensemble structural biology and deep generative modeling.Frontiers in microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Structure-based drug design is rapidly evolving, driven by advances in both physics-based and knowledge-based methods. These computational approaches are increasingly integrated across all stages of drug discovery. Despite remarkable progress, challenges remain in achieving accuracy, generalizability, computational efficiency, and chemical synthesizability. In this review, we provide a critical overview of advances, strengths, and limitations of recent methods. We also discuss synergies between the two concepts that hold promises for future advancements towards their practical applicability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.