AK
Ali Kishk
University of Luxembourg, Nile University, Mansoura University Faculty of Pharmacy, H3ABioNet, NIH
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Microbial Metabolic Engineering and Bioproduction · Computational Drug Discovery Methods · Bioinformatics and Genomic Networks
Employment
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University of Luxembourg PhD Student2020 - 2024
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Nile University Bioinformatics Research Assistant2017 - 2019
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H3ABioNet, NIH Bioinformatics Researcher2016 - 2017
Education
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Nile University Master of Science in Information & Communication: Informatics2017 - 2019
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Mansoura University Faculty of Pharmacy Bachelor in Pharmaceutical Sciences2009 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- AMBRA1 levels predict resistance to MAPK inhibitors in melanoma Save
- Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas Save
- Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma Save
- Bruceine D Identified as a Drug Candidate against Breast Cancer by a Novel Drug Selection Pipeline and Cell Viability Assay Save
- Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS Save
- Integrative analysis of host omics and microbiome data provides hints at common pathways and biomarkers for diabetes risk Save
- Project-based learning course on metabolic network modelling in computational systems biology Save
- Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases Save
- DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling Save
- The H3ABioNet helpdesk: an online bioinformatics resource, enhancing Africa’s capacity for genomics research Save
- AmpliconNet: Sequence Based Multi-layer Perceptron for Amplicon Read Classification Using Real-time Data Augmentation Save
- Beta2-adrenergic receptor variants in children and adolescents with bronchial asthma Save
- MetaFlow: An interactive user-friendly workflow for automated analysis of whole genome shotgun sequencing metagenomic data Save
- A Hybrid Machine Learning Approach for the Phenotypic Classification of Metagenomic Colon Cancer Reads Based on Kmer Frequency and Biomarker Profiling Save
- Hackathons as a means of accelerating scientific discoveries and knowledge transfer Save
- SpeciesMLP: Sequence based Multi-layer Perceptron For Amplicon Read Classification Using Real-time Data Augmentation Save