CRYSTALP statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Crystallization prediction chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

CRYSTALP specifications

Information


Unique identifier OMICS_11903
Name CRYSTALP
Alternative name CRYSTALP2
Interface Web user interface
Restrictions to use None
Input data Some protein sequences.
Input format FASTA
Computer skills Basic
Version 2.0
Stability Stable
Maintained Yes

Maintainers


  • person_outline Lukasz Kurgan <>
  • person_outline Ali Razib <>

Publications for CRYSTALP

CRYSTALP in publications

 (3)
PMCID: 5818639
PMID: 29497256
DOI: 10.6026/97320630014021

[…] []. after which the 2 d format of the cctop transmembrane helices images were obtained. an in-silico prediction of protein crystallization propensity was done on each protein using crystalp2 webserver (http://biominews. ece.ualberta.ca/crystalp2.html) []. some of these were confirmed and validated using other webtools such as compute pi/mw, (http://web.expasy.org/compute_pi/) […]

PMCID: 5511906
PMID: 28705967
DOI: 10.1128/genomeA.00542-17

[…] and m.s.-t. contributed equally to this work., mycobacteriophage crystalp is a newly isolated phage infecting mycobacterium smegmatis strain mc2155. crystalp has a 76,483-bp genome and is predicted to contain 143 protein-coding and 2 trna genes, including […]

PMCID: 4601584
PMID: 26457511
DOI: 10.1107/S2053230X15014892

[…] with more than 99 amino acids, resulting in an accuracy of just 58% (13 233/22 829). to be sure that the low prediction rates were not particular to our network, we used the online predictor crystalp2 (kurgan et al., 2009) with a random sample of 1000 sequences from the pdb with between 100 and 1000 residues. again the accuracy was low, with just 60% of the sequences classified […]


To access a full list of publications, you will need to upgrade to our premium service.

CRYSTALP institution(s)
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada; Department of Medical Physics, Shiraz University of Medical Sciences, Shiraz, Iran
CRYSTALP funding source(s)
Supported in part by NSERC under the Discovery Grants program.

CRYSTALP reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review CRYSTALP