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Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and DynamicsMenthol inhibits 5-HT3 receptor-mediated currentsMenthol binding and inhibition of α7-nicotinic acetylcholine receptorsProbabilistic search and energy guidance for biased decoy sampling in ab initio protein structure prediction.A population-based evolutionary search approach to the multiple minima problem in de novo protein structure predictionExploring representations of protein structure for automated remote homology detection and mapping of protein structure spaceA Data-Driven Evolutionary Algorithm for Mapping Multibasin Protein Energy Landscapes.Restriction versus guidance in protein structure prediction.Structure-guided Protein Transition Modeling with a Probabilistic Roadmap Algorithm.From Optimization to Mapping: An Evolutionary Algorithm for Protein Energy Landscapes.In search of the protein native state with a probabilistic sampling approach.An evolutionary algorithm approach for feature generation from sequence data and its application to DNA splice site prediction.Are nicotinic acetylcholine receptors coupled to G proteins?Elucidating the ensemble of functionally-relevant transitions in protein systems with a robotics-inspired method.Effective automated feature construction and selection for classification of biological sequences.On the characterization of protein native state ensembles.Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm.Evolutionary-inspired probabilistic search for enhancing sampling of local minima in the protein energy surfaceComputing energy landscape maps and structural excursions of proteinsUnfolding the fold of cyclic cysteine-rich peptides.Multiscale characterization of protein conformational ensemblesRapid sampling of local minima in protein energy surface and effective reduction through a multi-objective filter.HopDock: a probabilistic search algorithm for decoy sampling in protein-protein docking.The 6th Computational Structural Bioinformatics Workshop.Computational Methods for Exploration and Analysis of Macromolecular Structure and Dynamics.A two-stage evolutionary approach for effective classification of hypersensitive DNA sequences.idDock+: Integrating Machine Learning in Probabilistic Search for Protein-Protein Docking.The 7th Computational Structural Bioinformatics Workshop.Sample-Based Models of Protein Energy Landscapes and Slow Structural Rearrangements.Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.Guiding protein docking with geometric and evolutionary information.From Extraction of Local Structures of Protein Energy Landscapes to Improved Decoy Selection in Template-Free Protein Structure Prediction.A General, Adaptive, Roadmap-Based Algorithm for Protein Motion Computation.Characterizing Energy Landscapes of Peptides Using a Combination of Stochastic Algorithms.Guiding probabilistic search of the protein conformational space with structural profiles.Modeling protein conformational ensembles: from missing loops to equilibrium fluctuations.Deep Learning Improves Antimicrobial Peptide Recognition.An evolutionary conservation-based method for refining and reranking protein complex structures.The 5th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS 2010) special track on bioinformatics.Automated Design of Assemblable, Modular, Synthetic Chromosomes
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description
hulumtuese
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հետազոտող
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name
Amarda Shehu
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Amarda Shehu
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Amarda Shehu
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Amarda Shehu
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Amarda Shehu
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Amarda Shehu
@en
Amarda Shehu
@es
Amarda Shehu
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prefLabel
Amarda Shehu
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Amarda Shehu
@en
Amarda Shehu
@es
Amarda Shehu
@nl
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P2381
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