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Protein prediction package

Project description

ProTstab2

Protein prediction package

Environmental installation

R

R language version requires version 4.1.1 Two packages need to be installed simultaneously:

install.packages("devtools")
library(devtools)
install_version("DT", version="0.19",repos="http://cran.us.r-project.org")
install_version("protr", version="1.6.2",repos="http://cran.us.r-project.org")

Set SimultaneouslyR_HOMEto environment variable

Java

Java version requires 1.8 or higher

Python

Python version requires3.6or higher

How to use

If there is a protein sequence

_name = ""
_seq = """>sp|P30177|YBIB_ECOLI Uncharacterized protein YbiB OS=Escherichia coli (strain K12) OX=83333 GN=ybiB PE=1 SV=1
MDYRKIIKEIGRGKNHARDLDRDTARGLYAHMLNGEVPDLELGGVLIALRIKGEGEAEML
GFYEAMQNHTIKLTPPAGKPMPIVIPSYNGARKQANLTPLLAILLHKLGFPVVVHGVSED
PTRVLTETIFELMGITPTLHGGQAQAKLDEHQPVFMPVGAFCPPLEKQLAMRWRMGVRNS
AHTLAKLATPFAEGEALRLSSVSHPEYIGRVAKFFSDIGGRALLMHGTEGEVYANPQRCP
QINLIDREGMRVLYEKQDTAGSELLPQAKDPETTAQWIERCLAGSEPIPESLKIQMACCL
VATGEAATISDGLARVNQAF"""
p = ProTstab2()
r = p.predict(_name, _seq)
print(r)
# 55.00748285501498

If there is no protein sequence, the following methods can be used

_name = ">P30177"
_seq = ""
p = ProTstab2()
r = p.predict(_name, _seq)
print(r)
# 55.00748285501498

The first method is recommended here for the following reasons:

  1. Due to the use of crawlers, it is not guaranteed that data can be obtained every time, and the program may crash
  2. You can obtain specific protein sequence values

Disclaimers

The applications involved in this package are for learning and communication purposes only and shall not be used for any commercial purposes. Any legal disputes arising from this have nothing to do with me!

Project details


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