Docs
- Paper - PROT-90-1493.pdf
- References:
-- 16
server: http://bioinformatics.csu.edu.cn/PPISP - Not found.
-- 17 https://pubmed.ncbi.nlm.nih.gov/28968673/ (UK)
full-text: _17_btx585.pdf
server(?): http://www.bioinf.org.uk/intpred Not found
github: https://github.com/ACRMGroup/IntPred (would be very interesting to install & try!!)
Note: all data came form PISA (https://www.ebi.ac.uk/pdbe/pisa/pistart.html which last updated 2013)
Note: Random Forest Algorithm in Machine Learning (https://www.geeksforgeeks.org/random-forest-algorithm-in-machine-learning/)
-- _17_Zhu_1471-2105-7-27 NOXclass as software. http://noxclass.bioinf.mpi-inf.mpg.de/ - Not found
-- 18
No free access to: https://www.sciencedirect.com/science/article/abs/pii/S0022519317303806?via%3Dihub
-- 19
full-text: _19_bty647
server: https://bipspi.cnb.csic.es/
https://bipspi.cnb.csic.es/predictGenericForm/
github: https://github.com/bioinsilico/BIPSPI (looks a bit complex but we can give a try)
docker image: https://hub.docker.com/r/bioinsilico/bipspi/.
-- 20
full-text: _20_Patch-DCA (Boston USA)
github: https://github.com/BioMLBoston/PatchDCA (also looks a bit complex but need to try)
-- 21
full-text: _21_Prediction_ppi_sites_prediction (Amsterdam Holland)
server: https://www.ibi.vu.nl/downloads/RF_PPI/ (server is really on next line URL)
https://www.ibi.vu.nl/programs/serendipwww/
-- 22
From China. No software to try.
-- 23
From Itally
ful-text: _23_p_23_otential_for_PPI_prediction.pdf
github: https://github.com/sebastiandaberdaku/PPIprediction (does NOT look interesting)
-- 24
server: http://raptorx2.uchicago.edu/ComplexContact/ - Not Found
-- 25
full text: _25_pnas.201914677.pdf
github: https://github.com/gjoni/trRosetta
but use URL https://github.com/RosettaCommons/trRosetta2 shown at the above page.
this is university of Washington for Linux 64-bit
server: (Robetta) https://robetta.bakerlab.org/
(submit) https://robetta.bakerlab.org/login.php?next_url=%2Fsubmit.php
Note: This one is powerd by 'Boinc'
eod