This 3D proximity tool can be used to identify mutation hotspots from linear protein sequence and correlate the hotspots with known or potentially interacting domains, mutations, or drugs. Mutation-mutation and mutation-drug clusters can also be identified and viewed.
Program: HotSpot3D - 3D mutation proximity analysis program.
Stable: v0.6.0
Beta: up to v1.1.4
Author: Beifang Niu, John Wallis, Adam D Scott, Sohini Sengupta, & Amila Weerasinghe
Usage: hotspot3d [options]
Preprocessing
drugport -- 0) Parse drugport database (OPTIONAL)
uppro -- 1) Update proximity files
prep -- 2) Run preprocessing steps 2a-2f
calroi -- 2a) Generate region of interest (ROI) information
statis -- 2b) Calculate p_values for pairs of mutations
anno -- 2c) Add region of interest (ROI) annotation
trans -- 2d) Add transcript annotation
cosmic -- 2e) Add COSMIC annotation to proximity file
prior -- 2f) Prioritization
Analysis
main -- Run analysis steps a-f (beta)
search -- a) 3D mutation proximity searching
cluster -- b) Determine mutation-mutation and mutation-drug clusters
sigclus -- c) Determine significance of clusters (BETA/OPTIONAL)
summary -- d) Summarize clusters (OPTIONAL)
visual -- e) Visulization of 3D proximity (OPTIONAL)
For user support please email [email protected]
To reinstall code of the same version (in some cases, may need --sudo):
cpanm --reinstall HotSpot3D-#.tar.gz
Make sure that you have cpanm:
cpan App::cpanminus
For configuration, we recommend using local::lib:
cpanm --local-lib=~/perl5 local::lib && eval $(perl -I ~/perl5/lib/perl5/ -Mlocal::lib)
Dependencies include the modules: LWP::Simple, Test::Most, List::Util, List::MoreUtils
cpanm LWP::Simple
cpanm Test::Most
cpanm List::Util
cpanm List::MoreUtils
Install HotSpot3D package:
git clone https://github.com/ding-lab/hotspot3d
cd hotspot3d
For the latest stable version:
git checkout v0.6.0
cpanm HotSpot3D-0.6.0.tar.gz
For the latest beta version:
git checkout v1.1.4
cpanm HotSpot3D-1.1.4.tar.gz
Final note: Installations under some organizations may use an internal perl version. To make use of the /usr/ perl, edit the first line of ~/perl5/bin/hotspot3d.
from: #!/org/bin/perl
to: #!/usr/bin/perl
It is helpful to add your perl5 lib directory, and to add your perl5 bin directory.
You can add the following lines to your ~/.bash_profile. Then run 'source ~/.bash_profile'.
export PERL5LIB=~/perl5/lib/perl5/:${PERL5LIB}
export PERL5BIN=~/perl5/bin/:${PERL5BIN}
export PATH=~/perl5/bin/:${PATH}
Add cosmic v67 information to 3D proximity results :
mkdir preprocessing_dir/cosmic
cp COSMIC/cosmic_67_for_HotSpot3D_missense_only.tsv.bz2 ./preprocessing_dir/cosmic/
cd ./preprocessing_dir/cosmic/
bzip2 -d cosmic_67_for_HotSpot3D_missense_only.tsv.bz2
-
(Optional) Run drugport module to parse Drugport data and generate a drugport parsing results flat file :
hotspot3d drugport --pdb-file-dir=pdb_files_dir -
Run 3D proximity calculation that also updates any existing preprocessed data (default launches LSF jobs) :
hotspot3d uppro --output-dir=preprocessing_dir --pdb-file-dir=pdb_files_dir --drugport-file=drugport_parsing_results_file 1>hotspot3d.uppro.err 2>hotspot3d.uppro.out -
Run automated preprocessing for other measurments and annotations (can alternatively run steps 2a-2f individually) :
hotspot3d prep --output-dir=preprocessing_dir
3D proximity searching based on prioritization results and visualization
-
Proximity searching (acquire proximity information for input mutations):
hotspot3d search --maf-file=your.maf --prep-dir=preprocessing_dir -
Cluster pairwise data:
hotspot3d cluster --pairwise-file=3D_Proximity.pairwise --maf-file=your.maf -
Cluster significance calculation:
hotspot3d sigclus --prep-dir=preprocessing_dir --pairwise-file=3D_Proximity.pairwise --clusters-file=3D_Proximity.pairwise.singleprotein.collapsed.clusters -
Clustering Summary:
hotspot3d summary --clusters-file=3D_Proximity.pairwise.singleprotein.collapsed.clusters -
Visualization (works with PyMol):
hotspot3d visual --pairwise-file=3D_Proximity.pairwise --clusters-file=3D_Proximity.pairwise.singleprotein.collapsed.clusters --pdb=3XSR
Check out scripts/ for various annotation scripts to add more details to the .clusters file.
HGNC download can be found here: https://www.genenames.org/cgi-bin/genefamilies/.
Information on the Ensembl .gtf can be found here: https://useast.ensembl.org/info/website/upload/gff.html, and downloads can be found at the Ensembl ftp site, ftp:https://ftp.ensembl.org/pub/.
See the scripts/README.annotations for more details.
Mutation file - Standard .maf with custom coding transcript and protein annotations (ENST00000275493 and p.L858R)
There are only a handful of columns necessary from .maf files. They are:
Hugo_Symbol
Chromosome
Start_Position
End_Position
Variant_Classification
Reference_Allele
Tumor_Seq_Allele1
Tumor_Seq_Allele2
Tumor_Sample_Barcode
And two non-standard columns:
a transcript ID column
a protein peptide change column (HGVS p. single letter abbreviations, ie p.T790M)
Current Annotation Support:
Transcript ID - Ensembl coding transcript ID's (ENST)
Gene name - HUGO symbol
Clustering with different pairs data:
For monomers, you need to include the option '--meric-type monomer'
For homomers, you need to include the option '--meric-type homomer'
For heteromers, you need to include the option '--meric-type heteromer'
For both homomers & heteromers simultaneously, you need to include the option '--meric-type multimer'
For no regard to *mer status, you can include the option
'--meric-type unspecified', although this is run by default without the option
For DrugPort only, do not input the .pairwise file; input only DrugPort pairs file.
For *mer+DrugPort include the .pairwise file with the DrugPort pairs file,
and include the appropriate --meric-type as described above.
Clustering based on different distance measures:
There are some pairs found on multiple structures.
In HotSpot3D versions v0.6.2 and earlier,
clustering only used the shortest distance among different structures
(shortest structure distance, SSD).
In HotSpot3D versions v0.6.3 and later,
clustering can be done using the average distance among different structures
(average structure distance, ASD), and this is now default.