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