Accepted_test

DeNovo Sampling and Sequence Derived Structural Descriptors Based In-silico Identification of Host-Pathogen Protein Interactions
by Wajid Arshad Abbasi | Momina Ali | Amsa Shabir | Saiqa Andleeb | Maryum Bibi | Syed Ali Abbas | Computaional Biology and Data Analysis Lab., Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, 13100, Pakistan | Computaional Biology and Data Analysis Lab., Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, 13100, Pakistan | Department of Software Engineering, Capital University of Science & Technology (CUST), Islamabad, Pakistan | Biotechnology Lab., Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, 13100, Pakistan | Computaional Biology and Data Analysis Lab., Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, 13100, Pakistan | Computaional Biology and Data Analysis Lab., Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, 13100, Pakistan
Abstract ID: 19
Event: BGRS-abstracts
Sections: [Sym 12] Section “Systems theory, big biological data analysis, ontologies and artificial intelligence”

DeNovo Sampling and Sequence Derived Structural Descriptors Based In-silico Identification of Host-Pathogen Protein Interactions

Abbasi W. A.1*, Ali M.1, Shabir A.2, Andleeb S.3, Bibi M. 1, Abbas S. A.1

Key words: Machine learning, Protein interactions, infectious diseases, host-pathogen interactions, Predictive modeling, Protein sequence