ArticleProteins2018
Critical assessment of methods of protein structure prediction (CASP)-Round XII.
Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 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.
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Who cites it
139 citing papers in PubMed.
- The limits of bio-molecular modeling with large language models: a cross-scale evaluation.Bioinformatics (Oxford, England) · 2026Article
- Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER.Nature biotechnology · 2026Article
- Efficient global accuracy estimation for protein complex structural models using multi-view representation learning.Cell reports methods · 2026Article
- SPAED: harnessing AlphaFold output for accurate segmentation of phage endolysin domains.Bioinformatics (Oxford, England) · 2025Article
- Designing single-polymer-chain nanoparticles to mimic biomolecular hydration frustration.Nature chemistry · 2025Article
- FINCHES: A Computational Framework for Predicting Intermolecular Interactions in Intrinsically Disordered Proteins.International journal of molecular sciences · 2025Review
- The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025Review
- Article
- MULAN: multimodal protein language model for sequence and structure encoding.Bioinformatics advances · 2025Article
- Protein structure prediction via deep learning: an in-depth review.Frontiers in pharmacology · 2025Review
- Article
- Protein remote homology detection and structural alignment using deep learning.Nature biotechnology · 2024Article
- Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development.Biomolecules · 2024Review
- Evaluating generalizability of artificial intelligence models for molecular datasets.bioRxiv : the preprint server for biology · 2024Article
- Learnable Filters for Geometric Scattering Modules.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2024Article
- To split or not to split: CASP15 targets and their processing into tertiary structure evaluation units.Proteins · 2023Article
- Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency.Briefings in bioinformatics · 2023Article
- Alignment-based Protein Mutational Landscape Prediction: Doing More with Less.Genome biology and evolution · 2023Article
- NuFold: A Novel Tertiary RNA Structure Prediction Method Using Deep Learning with Flexible Nucleobase Center Representation.bioRxiv : the preprint server for biology · 2023Article
- Modern drug discovery for inflammatory bowel disease: The role of computational methods.World journal of gastroenterology · 2023Review
79 more citing papers are in PubMed but not listed here.
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
This article reports the outcome of the 12th round of Critical Assessment of Structure Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state of the art in modeling protein structure from amino acid sequence. Participants are provided sequence information and in turn provide protein structure models and related information. Analysis of the submitted structures by independent assessors provides a comprehensive picture of the capabilities of current methods, and allows progress to be identified. This was again an exciting round of CASP, with significant advances in 4 areas: (i) The use of new methods for predicting three-dimensional contacts led to a two-fold improvement in contact accuracy. (ii) As a consequence, model accuracy for proteins where no template was available improved dramatically. (iii) Models based on a structural template showed overall improvement in accuracy. (iv) Methods for estimating the accuracy of a model continued to improve. CASP continued to develop new areas: (i) Assessing methods for building quaternary structure models, including an expansion of the collaboration between CASP and CAPRI. (ii) Modeling with the aid of experimental data was extended to include SAXS data, as well as again using chemical cross-linking information. (iii) A team of assessors evaluated the suitability of models for a range of applications, including mutation interpretation, analysis of ligand binding properties, and identification of interfaces. This article describes the experiment and summarizes the results. The rest of this special issue of PROTEINS contains papers describing CASP12 results and assessments in more detail.
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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.