ArticleBMC bioinformatics2012
The MULTICOM toolbox for protein structure prediction.
Article in BMC bioinformatics, 2012. 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.
- Prediction of Intrinsic Disorder Functions with DEPICTER2.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Recent Progress of Protein Tertiary Structure Prediction.Molecules (Basel, Switzerland) · 2024Review
- DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options.Nucleic acids research · 2024Article
- Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies.Molecules (Basel, Switzerland) · 2021Article
- DNCON2_Inter: predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning.Scientific reports · 2021Article
- DescribePROT: database of amino acid-level protein structure and function predictions.Nucleic acids research · 2021Article
- Probabilistic divergence of a template-based modelling methodology from the ideal protocol.Journal of molecular modeling · 2021Article
- Using physical features of protein core packing to distinguish real proteins from decoys.Protein science : a publication of the Protein Society · 2020Article
- Combine Cryo-EM Density Map and Residue Contact for Protein Structure Prediction - A Case Study.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2020Article
- Chaperone client proteins evolve slower than non-client proteins.Functional & integrative genomics · 2020Article
- Article
- A Stochastic Point Cloud Sampling Method for Multi-Template Protein Comparative Modeling.Scientific reports · 2016Article
- Article
- A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11.BMC bioinformatics · 2015Article
- Large-scale model quality assessment for improving protein tertiary structure prediction.Bioinformatics (Oxford, England) · 2015Article
- An Improved Integration of Template-Based and Template-Free Protein Structure Modeling Methods and its Assessment in CASP11.Protein and peptide letters · 2015Article
- Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling information.BMC bioinformatics · 2014Article
- Predicting Protein Model Quality from Sequence Alignments by Support Vector Machines.Journal of proteomics & bioinformatics · 2013Article
- Identification of age-related macular degeneration related genes by applying shortest path algorithm in protein-protein interaction network.BioMed research international · 2013Article
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.
Funding
Abstract
backgroundAs genome sequencing is becoming routine in biomedical research, the total number of protein sequences is increasing exponentially, recently reaching over 108 million. However, only a tiny portion of these proteins (i.e. ~75,000 or < 0.07%) have solved tertiary structures determined by experimental techniques. The gap between protein sequence and structure continues to enlarge rapidly as the throughput of genome sequencing techniques is much higher than that of protein structure determination techniques. Computational software tools for predicting protein structure and structural features from protein sequences are crucial to make use of this vast repository of protein resources.
resultsTo meet the need, we have developed a comprehensive MULTICOM toolbox consisting of a set of protein structure and structural feature prediction tools. These tools include secondary structure prediction, solvent accessibility prediction, disorder region prediction, domain boundary prediction, contact map prediction, disulfide bond prediction, beta-sheet topology prediction, fold recognition, multiple template combination and alignment, template-based tertiary structure modeling, protein model quality assessment, and mutation stability prediction.
conclusionsThese tools have been rigorously tested by many users in the last several years and/or during the last three rounds of the Critical Assessment of Techniques for Protein Structure Prediction (CASP7-9) from 2006 to 2010, achieving state-of-the-art or near performance. In order to facilitate bioinformatics research and technological development in the field, we have made the MULTICOM toolbox freely available as web services and/or software packages for academic use and scientific research. It is available at http://sysbio.rnet.missouri.edu/multicom_toolbox/.
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.