ConKit statistics

info info

Citations per year

info

Popular tool citations

chevron_left Contact map prediction Multiple amino acid sequence alignment chevron_right
info

Tool usage distribution map

Tool usage distribution map
info info

Associated diseases

Associated diseases
Want to access the full stats & trends on this tool?

ConKit specifications

Information


Unique identifier OMICS_17294
Name ConKit
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Version 0.6.3
Stability Stable
Requirements
Numpy, BioPython, Matplotlib, setuptools
Maintained Yes

Download


download.png
github.png

Versioning


No version available

Documentation


Maintainer


  • person_outline Daniel Rigden

Publication for ConKit

ConKit citations

 (2)
library_books

Approaches to ab initio molecular replacement of α helical transmembrane proteins

2017
Acta Crystallogr D Struct Biol
PMCID: 5713875
PMID: 29199978
DOI: 10.1107/S2059798317016436

[…] blast and the nr database to be installed, as there is with rosetta­membrane. the protocol is described further in §s1., for each target, a multiple sequence alignment (msa) was generated using the conkit-predict script from the conkit package (simkovic, thomas et al., 2017) and using hhblits v.2.0.16 (alva et al., 2016) against uniprot20 v.2016_02 (the uniprot consortium, 2017). a contact […]

library_books

Applications of contact predictions to structural biology

2017
PMCID: 5414403
PMID: 28512576
DOI: 10.1107/S2052252517005115

[…] for structural biologists interested in predicting the domain composition of their proteins of interest, but it seems currently unavailable. however, similar functionality has been made available in conkit (table 1) which can accept the required list of predicted contacts in a wide variety of formats. finally, interesting recent work has also demonstrated the ability of covariance analysis […]


Want to access the full list of citations?
ConKit institution(s)
Institute of Integrative Biology, University of Liverpool, Liverpool, UK
ConKit funding source(s)
Supported by the Biotechnology and Biological Sciences Research Council grant BB/L008696/1.

ConKit reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review ConKit