ReviewThe journal of physical chemistry. B2022
Evolving Experimental Techniques for Structure-Based Drug Design.
Review in The journal of physical chemistry. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- GAMT-GINE: A Graph Isomorphism Network Integrating Continuous Spatial Awareness and Multi-Task Learning for Protein-Ligand Binding Affinity Prediction.International journal of molecular sciences · 2026Article
- Identification of characteristic genes of pressure ulcers based on angiogenesis-related genes and construction of miRNA, transcription factor, and molecular drug regulatory networks.BMC immunology · 2026Article
- Protein structural dynamics in covalent drug design: insights from irreversible and reversible covalent inhibitors.RSC chemical biology · 2026Review
- AlphaFold 3 accurately models natural variants ofMicrobiology spectrum · 2025Article
- Prediction of enzyme inhibition (ICJournal of molecular modeling · 2025Article
- LncRNA-Protein Interactions: A Key to Deciphering LncRNA Mechanisms.Biomolecules · 2025Review
- Advances in microfluidic mixers for time-resolved structural biology with X-rays.Biophysical reviews · 2025Review
- Article
- Single Molecule Thermodynamic Penalties Applied to Enzymes by Whispering Gallery Mode Biosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Distinct conformational states enable transglutaminase 2 to promote cancer cell survival versus cell death.Communications biology · 2024Article
- Cobdock: an accurate and practical machine learning-based consensus blind docking method.Journal of cheminformatics · 2024Article
- Structural Insight into Geranylgeranyl Diphosphate Synthase (GGDPS) for Cancer Therapy.Molecular cancer therapeutics · 2024Review
- Molecular insights and inhibitory dynamics of flavonoids in targeting Pim-1 kinase for cancer therapy.Frontiers in pharmacology · 2024Article
- Cryo-electron microscopy-based drug design.Frontiers in molecular biosciences · 2024Review
- Article
- CHARMM-GUI-Based Induced Fit Docking Workflow to Generate Reliable Protein-Ligand Binding Modes.Journal of chemical information and modeling · 2023Article
- Article
- Approved Nanomedicine against Diseases.Pharmaceutics · 2023Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Structure-based drug design (SBDD) is a prominent method in rational drug development and has traditionally benefitted from the atomic models of protein targets obtained using X-ray crystallography at cryogenic temperatures. In this perspective, we highlight recent advances in the development of structural techniques that are capable of probing dynamic information about protein targets. First, we discuss advances in the field of X-ray crystallography including serial room-temperature crystallography as a method for obtaining high-resolution conformational dynamics of protein-inhibitor complexes. Next, we look at cryogenic electron microscopy (cryoEM), another high-resolution technique that has recently been used to study proteins and protein complexes that are too difficult to crystallize. Finally, we present small-angle X-ray scattering (SAXS) as a potential high-throughput screening tool to identify inhibitors that target protein complexes and protein oligomerization.
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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.