Database for exploration of functional context of genes implicated in ovarian cancer. - Mandeep Kaur; Aleksandar Radovanovic; Magbubah Essack; Ulf Schaefer; Monique Maqungo; Tracey Kibler; Sebastian Schmeier; Alan Christoffels; Kothandaraman Narasimhan; Mahesh Choolani; Vladimir B. Bajic (Nucleic Acids Res., 2009)

Network analysis of microRNAs and their regulation in human ovarian cancer. - Sebastian Schmeier; Ulf Schaefer; Magbubah Essack; Vladimir B. Bajic (BMC Syst. Biol., 2011)

Identification of estrogen responsive genes using esophageal squamous cell carcinoma (ESCC) as a model. - Magbubah Essack; Cameron MacPherson; Sebastian Schmeier; Vladimir B. Bajic (BMC Syst. Biol., 2012)

DEOP: a database on osmoprotectants and associated pathways. - Salim Bougouffa; Aleksandar Radovanovic; Magbubah Essack; Vladimir B. Bajic (Database J. Biol. Databases Curation, 2014)

Distinct profiling of antimicrobial peptide families. - Abdullah M. Khamis; Magbubah Essack; Xin Gao 001; Vladimir B. Bajic (Bioinform., 2015)

DASPfind: new efficient method to predict drug-target interactions. - Wail Ba-alawi; Othman Soufan; Magbubah Essack; Panos Kalnis; Vladimir B. Bajic (J. Cheminformatics, 2016)

DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning. - Othman Soufan; Wail Ba-alawi; Moataz Afeef; Magbubah Essack; Panos Kalnis; Vladimir B. Bajic (J. Cheminformatics, 2016)

DESM: portal for microbial knowledge exploration systems. - Adil Salhi; Magbubah Essack; Aleksandar Radovanovic; Benoit Marchand; Salim Bougouffa; André Antunes 001; Marta Filipa Simões; Feras F. Lafi; Olaa A. Motwalli; Ameerah Bokhari; Tariq Malas; Soha Al Amoudi; et al. (Nucleic Acids Res., 2016)

TcoF-DB v2: update of the database of human and mouse transcription co-factors and transcription factor interactions. - Sebastian Schmeier; Tanvir Alam; Magbubah Essack; Vladimir B. Bajic (Nucleic Acids Res., 2017)

Metastatic State of Colorectal Cancer can be Accurately Predicted with Methylome. - Somayah Albaradei; Maha A. Thafar; Christophe Van Neste; Magbubah Essack; Vladimir B. Bajic (ICBRA, 2019)

Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining. - Maha A. Thafar; Somayah Albaradei; Rawan S. Olayan; Haitham Ashoor; Magbubah Essack; Vladimir B. Bajic (ICBBB, 2020)

Automated Counting of Colony Forming Units Using Deep Transfer Learning From a Model for Congested Scenes Analysis. - Somayah Albaradei; Francesco Napolitano; Mahmut Uludag; Maha A. Thafar; Sara Napolitano; Magbubah Essack; Vladimir B. Bajic; Xin Gao 001 (IEEE Access, 2020)

DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques. - Maha A. Thafar; Rawan S. Olayan; Haitham Ashoor; Somayah Albaradei; Vladimir B. Bajic; Xin Gao 001; Takashi Gojobori; Magbubah Essack (J. Cheminformatics, 2020)

DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. - Maha A. Thafar; Rawan S. Olayan; Somayah Albaradei; Vladimir B. Bajic; Takashi Gojobori; Magbubah Essack; Xin Gao 001 (J. Cheminformatics, 2021)

Application and evaluation of knowledge graph embeddings in biomedical data. - Mona Alshahrani; Maha A. Thafar; Magbubah Essack (PeerJ Comput. Sci., 2021)

MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment. - Nina Petrovic; Magbubah Essack; Ahmad Sami; George Perry; Takashi Gojobori; Esma R. Isenovic; Vladan P. Bajic (Comput. Biol. Chem., 2023)