Predict various features relevant to plant host-cell translocation and sub-cellular localisation, for a given protein FASTA input
conda create --name EFtranslocator python=3.10
conda activate EFtranslocator
apt-get update
apt-get install -y \
build-essential=12.9ubuntu3 \
emboss=6.6.0+dfsg-11ubuntu1 \
libgraphviz-dev=2.42.2-6ubuntu0.1 \
libsvm-tools=3.24+ds-6 \
ncbi-blast+=2.12.0+ds-3build1 \
openjdk-11-jdk=11.0.31+11-1ubuntu1~22.04.2 \
python2=2.7.18-3 \
python3-dev=3.10.6-1~22.04.1 \
python3-pil=9.0.1-1ubuntu0.4 \
python3-pygraphviz=1.7-3build1
pip install \
wheel==0.47.0 \
weka==2.0.2 \
python_weka_wrapper3[plots,graphs]==0.3.3 \
dbcan==5.2.9 \
UpSetPlot==0.9.0 \
hmmer==3.4.0.2 \
biopython==1.85 \
pandas==2.2.3 \
numpy==2.0.2 \
tensorflow==2.20.0 \
pybiolib==1.4.151 \
fair-esm==2.0.0 \
plicat_model==0.1.0 \
pygam==0.12.0 \
scikit-learn==1.6.1 \
openbabel==3.2.0
copy archive files to EFtranslocator/bin folder:
SignalP 6.0 (software and license) https://services.healthtech.dtu.dk/services/SignalP-6.0/
TargetP
WoLFPSORT
DeepLoc2
MultiLoc2
ApoplastP
LOCALIZER
Diamond
RiPPMiner
Automatically installed:
HMMer
DeepTMHMM
PLiCat
AIUPred
dbCAN
Additional data derived from:
CPPSite2
Pfam