DORAEMON: conDitiOnal pRobabilistic Approach for idEntification of aMino acids interacting with ribONucleic acids
Alternative link: https://github.com/ABCgrp/DORAEMON
Publishers link: http://www.sciencedirect.com/science/article/pii/S0022519317300498
Python version 2.7.6 [GCC 4.8.2] and numpy version 1.8.2.
USER INPUT: Sequence file of protein of interest in fasta format (Note: File name has to be given as protein.fa; use < 10 alphanumeric characters)
USAGE: $ python DORAEMON.py
USER INPUT: Example1.fa
EXAMPLE RUN: $ python DORAEMON.py Example1.fa
OUTPUT: Example1_DORAEMON.txt
(Note: Example1.fa and Example1_DORAEMON.txt in working directory)
Authors' Name (Email id):
Priyadarshini P. Pai (priyadarshini.pai7@gmail.com) Tirtharaj Dash (tirtharaj@goa.bits-pilani.ac.in) Sukanta Mondal (suku@goa.bits-pilani.ac.in)
The article has been published at: http://www.sciencedirect.com/science/article/pii/S0022519317300498
P.P. Pai, T. Dash, S. Mondal, "Sequence-based Discrimination of Protein-RNA Interacting Residues using a Probabilistic Approach", Journal of Theoretical Biology, 2017; Volume 418, 7 April 2017, Pages 77–83; DOI: 10.1016/j.jtbi.2017.01.040; Publisher: Elsevier.