Results 131 to 140 of about 7,593,248 (327)
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
Genetic and evolutionary algorithms come of age [PDF]
, 1994 David E. Goldberg
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Mapping Hsp104 interactions using cross‐linking mass spectrometry
FEBS Open Bio, EarlyView.This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal +3 more
wiley +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Reduced representation model of protein structure prediction: Statistical potential and genetic algorithms [PDF]
, 1993 Shaojian Sun
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FEBS Open Bio, EarlyView.The C. elegans tetraspanin‐7 (tsp‐7) is a homologue of human CD63, which is a negative regulator of autophagy. The C. elegans strain, tm5761, has a dysfunctional (knockout) tsp‐7 gene. When compared to the wild‐type strain, the tm5761 strain shows increased: life‐ and health‐span; thermotolerance, and stress‐induced locomotion.
Brogan Jones +2 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Genetic algorithms for protein tertiary structure prediction [PDF]
, 1993 Steffen Schulze-Kremer
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FEBS Open Bio, EarlyView.We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui +5 more
wiley +1 more source
The Evolution of Genetic Algorithms: Towards Massive Parallelism [PDF]
, 1993 Shumeet Baluja
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