Ali Kishk
Nile University
13 Papers
2 Citations
Ali Kishk is an academic researcher from Nile University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 3, co-authored 7 publications.
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Papers
Beta2-adrenergic receptor variants in children and adolescents with bronchial asthma.
Eman A. Toraih,Mohammad H. Hussein,Ahmed Ibrahim,Nouran B. AbdAllah,Eman Mohammad,Ali Kishk,Manal S. Fawzy +6 more
TL;DR: It is shown that the risk of development of asthma or response to treatment can be deciphered by the detection of bothrs1042713 and rs1042714 variants in ADRB2 gene.
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The H3ABioNet helpdesk: an online bioinformatics resource, enhancing Africa's capacity for genomics research.
Judit Kumuthini,Lyndon Zass,Sumir Panji,Samson Pandam Salifu,Jonathan K. Kayondo,Victoria Nembaware,Mamana Mbiyavanga,Ajayi Olabode,Ali Kishk,Gordon Wells,Nicola Mulder +10 more
TL;DR: The H3ABioNet HD (H3A-HD) development is reported on, outlining its design, management, usage and evaluation framework, as well as the lessons learned through implementation.
Project-based learning course on metabolic network modelling in computational systems biology
Thomas Sauter,Tamara Jean Rita Bintener,Ali Kishk,Luana Presta,Tessy Prohaska,Daniel Guignard,Ni Zeng,Claudia Cipriani,Sundas Arshad,Thomas Pfau,Patricia Martins Conde,Maria Pires Pacheco +11 more
TL;DR: In this paper , the authors report on a project-based learning course on metabolic network modelling that has been running for several years within the Master in Integrated Systems Biology (MISB) at the University of Luxembourg.
Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases
Ali Kishk,Maria Pires Pacheco,Tony Heurtaux,Lasse Sinkkonen,Jie Pan,Sabrina Fritah,Simone P. Niclou,Thomas Sauter +7 more
TL;DR: A review of the evolution of genome-scale models for neurodegenerative diseases and glioma discusses the advantages and drawbacks of each approach and proposes improvements, such as building bi-cellular models, tailoring the biomass formulations forglioma and refinement of the cerebrospinal fluid composition.
Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS.
Tamara Jean Rita Bintener,Maria Pires Pacheco,Ali Kishk,Jeff Didier,Thomas Sauter +4 more
- 01 Jan 2022
TL;DR: In this paper , the authors elaborate on the reconstruction of context-specific metabolic models of cancer using rFASTCORMICS and the subsequent prediction of drugs for repurposing using their drug prediction workflow.
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