Scientific discovery as a combinatorial optimisation problem: how best to navigate the landscape of possible experiments?
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How drugs get into cells: tested and testable predictions to help discriminate between transporter-mediated uptake and lipoidal bilayer diffusionIndividuality, phenotypic differentiation, dormancy and 'persistence' in culturable bacterial systems: commonalities shared by environmental, laboratory, and clinical microbiologyMetabolomics and systems pharmacology: why and how to model the human metabolic network for drug discoveryExploiting genomic knowledge in optimising molecular breeding programmes: algorithms from evolutionary computingA Bacterial Component to Alzheimer’s-Type Dementia Seen via a Systems Biology Approach that Links Iron Dysregulation and Inflammagen Shedding to DiseaseThe virtue of innovation: innovation through the lenses of biological evolutionFinding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it.SpeedyGenes: an improved gene synthesis method for the efficient production of error-corrected, synthetic protein libraries for directed evolution.SpeedyGenes: Exploiting an Improved Gene Synthesis Method for the Efficient Production of Synthetic Protein Libraries for Directed Evolution.Major involvement of bacterial components in rheumatoid arthritis and its accompanying oxidative stress, systemic inflammation and hypercoagulability.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Iterative refinement of a binding pocket model: active computational steering of lead optimization.A 'rule of 0.5' for the metabolite-likeness of approved pharmaceutical drugs.Evolutionary algorithms and synthetic biology for directed evolution: commentary on "on the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin.A strategy for finding the optimal scale of plant core collection based on Monte Carlo simulation.
P2860
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P2860
Scientific discovery as a combinatorial optimisation problem: how best to navigate the landscape of possible experiments?
description
2012 nî lūn-bûn
@nan
2012年の論文
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2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
Scientific discovery as a comb ...... scape of possible experiments?
@en
Scientific discovery as a comb ...... scape of possible experiments?
@nl
type
label
Scientific discovery as a comb ...... scape of possible experiments?
@en
Scientific discovery as a comb ...... scape of possible experiments?
@nl
prefLabel
Scientific discovery as a comb ...... scape of possible experiments?
@en
Scientific discovery as a comb ...... scape of possible experiments?
@nl
P2860
P356
P1433
P1476
Scientific discovery as a comb ...... scape of possible experiments?
@en
P2860
P304
P356
10.1002/BIES.201100144
P407
P50
P577
2012-01-18T00:00:00Z