ArticleIUCrJ2017
A distance geometry-based description and validation of protein main-chain conformation.
Article in IUCrJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- ProtSeqGen: a novel deep learning model for protein sequence design.BMC bioinformatics · 2026Article
- Tertiary structure assessment at CASP15.Proteins · 2023Article
- ALEPH: a network-oriented approach for the generation of fragment-based libraries and for structure interpretation.Acta crystallographica. Section D, Structural biology · 2020Article
- Elucidation of the viral disassembly switch of tobacco mosaic virus.EMBO reports · 2019Article
- Building atomic models based on near atomic resolution cryoEM maps with existing tools.Journal of structural biology · 2018Article
- West-Life: A Virtual Research Environment for structural biology.Journal of structural biology: XArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the protein main-chain conformational space forms the basis for the modelling of protein structures and for the validation of models derived from structural biology techniques. Presented here is a novel idea for a three-dimensional distance geometry-based metric to account for the fine details of protein backbone conformations. The metrics are computed for dipeptide units, defined as blocks of C
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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.