CFP: a web-server for constructing sequence-based protein conformational flexibility profiles.

Igor B Kuznetsov, Shalom Rackovsky

Abstract read

In one paragraph

Article in Bioinformation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Distribution and cluster analysis of predicted intrinsically disordered protein Pfam domains.Intrinsically disordered proteins
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Igor B KuznetsovCancer Research Center, Department of Epidemiology and Biostatistics, University at Albany, One Discovery Drive, Rensselaer, NY 12144, USA. ikuznetsov@uamail.albany.edu

Shalom Rackovsky

Funding

OPTIMIZED PROTEIN INFORMATICSR01LM006789 · NLM · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI RACKOVSKY, SHALOM R · 2001 to 2007

$1.9M

Computational methods for the analysis of protein flexibility.R03LM009034 · NLM · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI KUZNETSOV, IGOR B. · 2006 to 2007

$141k

NLM NIH HHS R01 LM006789NLM NIH HHS R03 LM009034

6 · The paper itself

Abstract

unlabelledMany proteins contain conformationally flexible segments that undergo significant changes in the backbone conformation or completely lack a well-defined conformation. Previously, we have developed the generalized local propensity (GLP), a quantitative sequence-based measure of the protein backbone flexibility. In this paper, we present the CFP (Conformational Flexibility Profile) web-server that constructs the GLP flexibility profile for a user-submitted sequence and uses this profile to identify segments with high backbone flexibility. The statistical significance of a flexible sequence segment is assessed using the discrete scan statistics based on the density of flexible residues observed in this segment. AVAILABILITY: CFP is publicly available at http://cfp.rit.albany.edu.

Indexed as

conformational variabilityflexibilitylocal propensityprotein backbonesequence

Identifiers

PMID20461153

DOI10.6026/97320630004176

PMCPMC2859570

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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.