ReviewDrug discovery today2009
Protein structure prediction and model quality assessment.
Review in Drug discovery today, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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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.
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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
34 citing papers in PubMed.
- Synergistic Engineering of the Twin-Arginine Translocation (Tat) Pathway and Membrane Capacity Enhances Extracellular Production of Amylosucrase inMicroorganisms · 2025Article
- Nanobodies: From Discovery to AI-Driven Design.Biology · 2025Review
- In silico analysis ofNarra J · 2024Article
- Recent advances and challenges in protein complex model accuracy estimation.Computational and structural biotechnology journal · 2024Review
- Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models.International journal of molecular sciences · 2023Review
- AI in drug discovery and its clinical relevance.Heliyon · 2023Review
- Quality Estimates for 3D Protein Models.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Pullulanase with high temperature and low pH optima improved starch saccharification efficiency.Scientific reports · 2022Article
- Probabilistic divergence of a template-based modelling methodology from the ideal protocol.Journal of molecular modeling · 2021Article
- QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scores.Computational and structural biotechnology journal · 2021Article
- DRAMP 2.0, an updated data repository of antimicrobial peptides.Scientific data · 2019Article
- Protein model accuracy estimation based on local structure quality assessment using 3D convolutional neural network.PloS one · 2019Article
- ReFOLD: a server for the refinement of 3D protein models guided by accurate quality estimates.Nucleic acids research · 2017Article
- Critical assessment of methods of protein structure prediction: Progress and new directions in round XI.Proteins · 2016Article
- Article
- A comparison of different functions for predicted protein model quality assessment.Journal of computer-aided molecular design · 2016Article
- Distributions of experimental protein structures on coarse-grained free energy landscapes.The Journal of chemical physics · 2015Article
- Computational tools for epitope vaccine design and evaluation.Current opinion in virology · 2015Review
- Article
- Ranking the quality of protein structure models using sidechain based network properties.F1000Research · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Protein structures have proven to be a crucial piece of information for biomedical research. Of the millions of currently sequenced proteins only a small fraction is experimentally solved for structure and the only feasible way to bridge the gap between sequence and structure data is computational modeling. Half a century has passed since it was shown that the amino acid sequence of a protein determines its shape, but a method to translate the sequence code reliably into the 3D structure still remains to be developed. This review summarizes modern protein structure prediction techniques with the emphasis on comparative modeling, and describes the recent advances in methods for theoretical model quality assessment.
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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.