Zobrazeno 1 - 5
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pro vyhledávání: '"Hazem Radwan Ahmed"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 28:2938-2945
Pattern discovery in protein interaction networks can reveal crucial biological knowledge on the inner workings of cellular machinery. Although far from complete, extracting meaningful patterns from proteomic networks is a nontrivial task due to thei
Autor:
Hazem Radwan Ahmed, Janice I. Glasgow
Publikováno v:
Soft Computing. 20:4791-4811
Pattern discovery in protein structures is a fundamental task in computational biology, with important applications in protein structure prediction, profiling and alignment. We propose a novel approach for pattern matching and discovery in protein st
Autor:
Janice I. Glasgow, Hazem Radwan Ahmed
Publikováno v:
GECCO
This paper proposes a novel particle-swarm based approach for protein structure alignment and comparison. Applying heuristic search to discover similar protein substructure patterns can be easily trapped in certain regions of the sparse and challengi
Autor:
Hazem Radwan Ahmed
Publikováno v:
GECCO (Companion)
Stagnation is a prevalent issue in many heuristic search algorithms, such as Particle Swarm Optimization (PSO). PSO stagnation occurs when the rate of position changes (or velocities) that attract particles to the global best position approaches zero
Autor:
Hazem Radwan Ahmed, Janice I. Glasgow
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783319064826
Canadian Conference on AI
Canadian Conference on AI
This paper investigates the applicability of Particle Swarm Optimization (PSO) to motif matching in protein structures, which can help in protein structure classification and function annotation. A 3D motif is a spatial, local pattern in a protein st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0abd23fdf7b17834543ce164e138577
https://doi.org/10.1007/978-3-319-06483-3_1
https://doi.org/10.1007/978-3-319-06483-3_1