ReviewDrug discovery today2020
Impact of the Protein Data Bank on antineoplastic approvals.
Review in Drug discovery today, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Visualizing and analyzing 3D biomolecular structures using Mol* at RCSB.org: Influenza A H5N1 virus proteome case study.Protein science : a publication of the Protein Society · 2025Article
- An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits.Nano letters · 2024Article
- Review
- Exploring Scoring Function Space: Developing Computational Models for Drug Discovery.Current medicinal chemistry · 2024Review
- RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning.Nucleic acids research · 2023Article
- RCSB Protein Data bank: Tools for visualizing and understanding biological macromolecules in 3D.Protein science : a publication of the Protein Society · 2022Article
- Assessing PDB macromolecular crystal structure confidence at the individual amino acid residue level.Structure (London, England : 1993) · 2022Article
- Protein Data Bank: A Comprehensive Review of 3D Structure Holdings and Worldwide Utilization by Researchers, Educators, and Students.Biomolecules · 2022Review
- Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.Proteins · 2022Article
- Simplified quality assessment for small-molecule ligands in the Protein Data Bank.Structure (London, England : 1993) · 2022Article
- Worldwide Protein Data Bank (wwPDB): A virtual treasure for research in biotechnology.European journal of microbiology & immunology · 2022Review
- RCSB Protein Data Bank resources for structure-facilitated design of mRNA vaccines for existing and emerging viral pathogens.Structure (London, England : 1993) · 2022Article
- RCSB Protein Data Bank: Celebrating 50 years of the PDB with new tools for understanding and visualizing biological macromolecules in 3D.Protein science : a publication of the Protein Society · 2022Article
- PDB-101: Educational resources supporting molecular explorations through biology and medicine.Protein science : a publication of the Protein Society · 2022Article
- Modernized uniform representation of carbohydrate molecules in the Protein Data Bank.Glycobiology · 2021Article
- Targeting protein phosphatase PP2A for cancer therapy: development of allosteric pharmaceutical agents.Clinical science (London, England : 1979) · 2021Review
- Open-access data: A cornerstone for artificial intelligence approaches to protein structure prediction.Structure (London, England : 1993) · 2021Review
- RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences.Nucleic acids research · 2021Article
- Impact of structural biologists and the Protein Data Bank on small-molecule drug discovery and development.The Journal of biological chemistryReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Open access to 3D structure information from the Protein Data Bank (PDB) facilitated discovery and development of >90% of the 79 new antineoplastic agents (54 small molecules, 25 biologics) with known molecular targets approved by the FDA 2010-2018. Analyses of PDB holdings, the scientific literature and related documents for each drug-target combination revealed that the impact of public-domain 3D structure data was broad and substantial, ranging from understanding target biology (∼95% of all targets) to identifying a given target as probably druggable (∼95% of all targets) to structure-guided lead optimization (>70% of all small-molecule drugs). In addition to aggregate impact assessments, illustrative case studies are presented for three protein kinase inhibitors, an allosteric enzyme inhibitor and seven advanced-stage melanoma therapeutics.
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.