ReviewExpert opinion on drug discovery2014
The future of crystallography in drug discovery.
Review in Expert opinion on drug discovery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 106 citations in OpenAlex.
- The Advantages of AI for Computational Protein Studies and Looking Ahead at the Next Challenges: Single Structures Are Not Enough.Journal of molecular biology · 2026Review
- Enhanced crystallinity of tetrahalopyridyl (THP) derivatized compounds.Chemical science · 2026Article
- AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network.Nature methods · 2026Article
- Decoding BCL6 Inhibitors: Computational Insights into the Impact of Water Networks on Potency.Journal of chemical information and modeling · 2025Article
- Evolution of macromolecular crystallography beamlines at the Swiss Light Source and SwissFEL.Journal of synchrotron radiation · 2025Article
- Preparing for successful protein crystallization experiments.Acta crystallographica. Section F, Structural biology communications · 2025Article
- Article
- Structural studies of intrinsically disordered MLL-fusion protein AF9 in complex with peptidomimetic inhibitors.Protein science : a publication of the Protein Society · 2024Article
- Continuous Validation Across Macromolecular Structure Determination Process.Nihon Kessho Gakkai shi · 2023Article
- CMM-An enhanced platform for interactive validation of metal binding sites.Protein science : a publication of the Protein Society · 2023Article
- Experiences From Developing Software for Large X-Ray Crystallography-Driven Protein-Ligand Studies.Frontiers in molecular biosciences · 2022Article
- Camptothecin shows better promise than Curcumin in the inhibition of the Human Telomerase: A computational study.Heliyon · 2021Article
- 'International journal of molecular sciences · 2021Article
- Modelling covalent linkages in CCP4.Acta crystallographica. Section D, Structural biology · 2021Article
- Article
- Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.Chemical reviews · 2020Review
- Mechanisms of Action for Small Molecules Revealed by Structural Biology in Drug Discovery.International journal of molecular sciences · 2020Review
- In Situ Proteolysis Condition-Induced Crystallization of the XcpVWX Complex in Different Lattices.International journal of molecular sciences · 2020Article
- Unravelling the covalent binding of zampanolide and taccalonolide AJ to a minimalist representation of a human microtubule.Journal of computer-aided molecular design · 2019Article
- Lattice engineering enables definition of molecular features allowing for potent small-molecule inhibition of HIV-1 entry.Nature communications · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
introductionX-ray crystallography plays an important role in structure-based drug design (SBDD), and accurate analysis of crystal structures of target macromolecules and macromolecule-ligand complexes is critical at all stages. However, whereas there has been significant progress in improving methods of structural biology, particularly in X-ray crystallography, corresponding progress in the development of computational methods (such as in silico high-throughput screening) is still on the horizon. Crystal structures can be overinterpreted and thus bias hypotheses and follow-up experiments. As in any experimental science, the models of macromolecular structures derived from X-ray diffraction data have their limitations, which need to be critically evaluated and well understood for structure-based drug discovery. AREAS COVERED: This review describes how the validity, accuracy and precision of a protein or nucleic acid structure determined by X-ray crystallography can be evaluated from three different perspectives: i) the nature of the diffraction experiment; ii) the interpretation of an electron density map; and iii) the interpretation of the structural model in terms of function and mechanism. The strategies to optimally exploit a macromolecular structure are also discussed in the context of 'Big Data' analysis, biochemical experimental design and structure-based drug discovery. EXPERT OPINION: Although X-ray crystallography is one of the most detailed 'microscopes' available today for examining macromolecular structures, the authors would like to re-emphasize that such structures are only simplified models of the target macromolecules. The authors also wish to reinforce the idea that a structure should not be thought of as a set of precise coordinates but rather as a framework for generating hypotheses to be explored. Numerous biochemical and biophysical experiments, including new diffraction experiments, can and should be performed to verify or falsify these hypotheses. X-ray crystallography will find its future application in drug discovery by the development of specific tools that would allow realistic interpretation of the outcome coordinates and/or support testing of these hypotheses.
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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.