ProCon: localization and visualization of Protein Conservation

ProCon is tool for locating and visualization of evolutionary conservation in protein sequences. The method can identify three types of conservation: identity (type I), physicochemical similarity (II), and covariant conservation (III). The conservative sites of type I and II are located with entropy calculation and the third type is identified by calculation of mutual information. The interacting networks formed by covariant pairs can also be identified. All the three types of conservation can be visualized in a representative protein structure. The tool performs exhaustive analysis results of which can be used e.g. for identifying different types of conserved residues, studying protein-protein interactions, explaining consequences of disease-causing mutations and mutant design for protein engineering.

Bioinformatics
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how to use the predictor
A file is required in FASTA format as follows:
>Q9UKP3
MSLLCRNKGCGQHFDPNTNLPDSCCHHPGVPIFHDALKGWSCCRKRTVDFSEFLNIKGCT
MGPHCAEKLPEAPQPEGPATSSSLQEQKPLNVIPKSAETLRRERPKSELPLKLLPLNISQ
ALEMALEQKELDQEPGAGLDSLIRTGSSCQNPGCDAVYQGPESDATPCTYHPGAPRFHEG
MKSWSCCGIQTLDFGAFLAQPGCRVGRHDWGKQLPASCRHDWHQTDSLVVVTVYGQIPLP
AFNWVKASQTELHVHIVFDGNRVFQAQMKLWGVINVEQSSVFLMPSRVEISLVKADPGSW
AQLEHPDALAKKARAGVVLEMDEEESDDSDDDLSWTEEEEEEEAMGE
>O95965
MRPPGFRNFLLLASSLLFAGLSAVPQSFSPSLRSWPGAACRLSRAESERRCRAPGQPPGA
ALCHGRGRCDCGVCICHVTEPGMFFGPLCECHEWVCETYDGSTCAGHGKCDCGKCKCDQG
WYGDACQYPTNCDLTKKKSNQMCKNSQDIICSNAGTCHCGRCKCDNSDGSGLVYGKFCEC
DDRECIDDETEEICGGHGKCYCGNCYCKAGWHGDKCEFQCDITPWESKRRCTSPDGKICS
NRGTCVCGECTCHDVDPTGDWGDIHGDTCECDERDCRAVYDRYSDDFCSGHGQCNCGRCD
CKAGWYGKKCEHPQSCTLSAEESIRKCQGSSDLPCSGRGKCECGKCTCYPPGDRRVYGKT
CECDDRRCEDLDGVVCGGHGTCSCGRCVCERGWFGKLCQHPRKCNMTEEQSKNLCESADG
ILCSGKGSCHCGKCICSAEEWYISGEFCDCDDRDCDKHDGLICTGNGICSCGNCECWDGW
NGNACEIWLGSEYP

To make the result informative, we suggest uers to input around 100 alignments for one protein.


About us
This tool is developed by:
Yang Yang, Neng Qian, Guanchen Zhu, André Norrgård, Mats Aspnäs, Jan Westerholm, Mauno Vihinen and Bairong Shen
Email: 1729401199@stu.suda.edu.cn, yyang@suda.edu.cn
© 2005 - 2020
School of Computer Science and Technology, Soochow University, Suzhou,China
and
Institute of Biomedical Technology, University of Tampere, Finland