Evidence map›Paper›PMID 25079944›Full record

ArticlePLoS computational biology2014

A real-time all-atom structural search engine for proteins.

Gabriel Gonzalez, Brett Hannigan, William F DeGrado

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Algorithms for protein design.Current opinion in structural biology · 2016
    Review
  4. Article
  5. Rapid search for tertiary fragments reveals protein sequence-structure relationships.Protein science : a publication of the Protein Society · 2015
    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

3 authors.

Gabriel GonzalezCardiovascular Research Institute, University of California, San Francisco, San Francisco, California, United States of America.
Brett HanniganCardiovascular Research Institute, University of California, San Francisco, San Francisco, California, United States of America.
William F DeGradoCardiovascular Research Institute, University of California, San Francisco, San Francisco, California, United States of America.

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
De novo design of alpha-helical bundlesR37GM054616 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DEGRADO, WILLIAM · 2004 to 2013
$3.6M
DE NOVO DESIGN OF ALPHA HELICAL BUNDLESR01GM054616 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI DEGRADO, WILLIAM · 1996 to 2016
$2.4M
NHGRI NIH HHS 5T32HG000046-15NHGRI NIH HHS T32 HG000046NIGMS NIH HHS GM54616NIGMS NIH HHS R01 GM054616NIGMS NIH HHS R37 GM054616
6 · The paper itself

Abstract

Protein designers use a wide variety of software tools for de novo design, yet their repertoire still lacks a fast and interactive all-atom search engine. To solve this, we have built the Suns program: a real-time, atomic search engine integrated into the PyMOL molecular visualization system. Users build atomic-level structural search queries within PyMOL and receive a stream of search results aligned to their query within a few seconds. This instant feedback cycle enables a new "designability"-inspired approach to protein design where the designer searches for and interactively incorporates native-like fragments from proven protein structures. We demonstrate the use of Suns to interactively build protein motifs, tertiary interactions, and to identify scaffolds compatible with hot-spot residues. The official web site and installer are located at http://www.degradolab.org/suns/ and the source code is hosted at https://github.com/godotgildor/Suns (PyMOL plugin, BSD license), https://github.com/Gabriel439/suns-cmd (command line client, BSD license), and https://github.com/Gabriel439/suns-search (search engine server, GPLv2 license).

Indexed as

Databases, ProteinInternetSoftwareAlgorithmsAmino Acid MotifsProtein EngineeringProteinsProteomicsSearch EngineProteins

Identifiers

PMID25079944
PMCPMC4117414

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.