ArticleThe protein journal2009
Prediction of catalytic residues using the variation of stereochemical properties.
Article in The protein journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- L1pred: a sequence-based prediction tool for catalytic residues in enzymes with the L1-logreg classifier.PloS one · 2012Article
- New methods to measure residues coevolution in proteins.BMC bioinformatics · 2011Article
- Sequence conservation in the prediction of catalytic sites.The protein journal · 2011Article
- Catalytic residues in hydrolases: analysis of methods designed for ligand-binding site prediction.Journal of computer-aided molecular design · 2011Article
- A protein sequence meta-functional signature for calcium binding residue prediction.Pattern recognition letters · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we investigate a simple protein sequence conservation measure which takes amino acid similarity into account. Instead of grouping 20 amino acids into disjoint sets in previous methods, we consider ten overlapping classes. The method is based on the assumption that a column in a multiple sequence alignment is evolved from an identical column in the evolutionary history. Two ten-dimensional vectors are constructed for each position to denote frequencies of ten classes in a column and the corresponding hypothetical identical column. Then the cosine function of the angle between these two vectors is considered as a measure of divergence of stereochemical properties at this position. This divergence, combining with other conservation scores, is used as conservation measure of the column. Finally, we evaluate our methods by identifying catalytic sites, using rank analysis criterion and receiver operator characteristic analysis criterion.
Indexed as
Identifiers
19130192What 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.