DOGS: reaction-driven de novo design of bioactive compounds
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De Novo Fragment Design for Drug Discovery and Chemical BiologyBIGCHEM: Challenges and Opportunities for Big Data Analysis in ChemistryOOMMPPAA: a tool to aid directed synthesis by the combined analysis of activity and structural data.Significance estimation for sequence-based chemical similarity searching (PhAST) and application to AuroraA kinase inhibitors.Balancing novelty with confined chemical space in modern drug discovery.Fragment-Based De Novo Design Reveals a Small-Molecule Inhibitor of Helicobacter Pylori HtrA.Pharmacophore Alignment Search Tool (PhAST): Significance Assessment of Chemical Similarity.Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensus.The potential role of in silico approaches to identify novel bioactive molecules from natural resources.Future De Novo Drug Design.Towards the Next Generation of Computational Chemogenomics Tools.Molecular de-novo design through deep reinforcement learning.Steering target selectivity and potency by fragment-based de novo drug design.Drugs by numbers: reaction-driven de novo design of potent and selective anticancer leads.Is computer-assisted rescaffolding the future in lead generation?Multi-objective molecular de novo design by adaptive fragment prioritization.Harnessing the potential of natural products in drug discovery from a cheminformatics vantage point.A Pareto Algorithm for Efficient De Novo Design of Multi-functional Molecules.Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.Ring system-based chemical graph generation for de novo molecular design.Applicability Domains and Consistent Structure Generation.Chemical Space Expansion of Bromodomain Ligands Guided by in Silico Virtual Couplings (AutoCouple).Preclinical evaluation and molecular docking of 1,3-benzodioxole propargyl ether derivatives as novel inhibitor for combating the histone deacetylase enzyme in cancer.Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design.A poised fragment library enables rapid synthetic expansion yielding the first reported inhibitors of PHIP(2), an atypical bromodomain† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c5sc03115j.IADE: a system for intelligent automatic design of bioisosteric analogsScaffold hopping from synthetic RXR modulators by virtual screening and design
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P2860
DOGS: reaction-driven de novo design of bioactive compounds
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
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2012 թվականին հրատարակված գիտական հոդված
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年學術文章
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name
DOGS: reaction-driven de novo design of bioactive compounds
@ast
DOGS: reaction-driven de novo design of bioactive compounds
@en
DOGS: reaction-driven de novo design of bioactive compounds
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type
label
DOGS: reaction-driven de novo design of bioactive compounds
@ast
DOGS: reaction-driven de novo design of bioactive compounds
@en
DOGS: reaction-driven de novo design of bioactive compounds
@nl
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DOGS: reaction-driven de novo design of bioactive compounds
@ast
DOGS: reaction-driven de novo design of bioactive compounds
@en
DOGS: reaction-driven de novo design of bioactive compounds
@nl
P2093
P2860
P50
P3181
P1476
DOGS: reaction-driven de novo design of bioactive compounds
@en
P2093
Felix Reisen
Heiko Zettl
Holger Stark
Markus Hartenfeller
Miriam Walter
Sascha Weggen
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1002380
P407
P577
2012-01-01T00:00:00Z