ArticleBioinformatics (Oxford, England)2010
FILTREST3D: discrimination of structural models using restraints from experimental data.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 20 citations in OpenAlex.
- Computational modeling of RNA 3D structure based on experimental data.Bioscience reports · 2019Review
- Review
- Structural and functional insights into tRNA binding and adenosine N1-methylation by an archaeal Trm10 homologue.Nucleic acids research · 2016Article
- Surfing the Protein-Protein Interaction Surface Using Docking Methods: Application to the Design of PPI Inhibitors.Molecules (Basel, Switzerland) · 2015Review
- Computational modeling of RNA 3D structures, with the aid of experimental restraints.RNA biology · 2014Review
- Crystal structures of the tRNA:m2G6 methyltransferase Trm14/TrmN from two domains of life.Nucleic acids research · 2012Article
- DARS-RNP and QUASI-RNP: new statistical potentials for protein-RNA docking.BMC bioinformatics · 2011Article
- Structural basis for the methylation of A1408 in 16S rRNA by a panaminoglycoside resistance methyltransferase NpmA from a clinical isolate and analysis of the NpmA interactions with the 30S ribosomal subunit.Nucleic acids research · 2011Article
- Databases and bioinformatics tools for the study of DNA repair.Molecular biology international · 2011Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
summaryAutomatic methods for macromolecular structure prediction (fold recognition, de novo folding and docking programs) produce large sets of alternative models. These large model sets often include many native-like structures, which are often scored as false positives. Such native-like models can be more easily identified based on data from experimental analyses used as structural restraints (e.g. identification of nearby residues by cross-linking, chemical modification, site-directed mutagenesis, deuterium exchange coupled with mass spectrometry, etc.). We present a simple server for scoring and ranking of models according to their agreement with user-defined restraints. AVAILABILITY: FILTREST3D is freely available for users as a web server and standalone software at: http://filtrest3d.genesilico.pl/ CONTACT: iamb@genesilico.pl SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.