about
Computational drug design strategies applied to the modelling of human immunodeficiency virus-1 reverse transcriptase inhibitorsCDA: combinatorial drug discovery using transcriptional response modulesBiomarkers, metabonomics, and drug development: can inborn errors of metabolism help in understanding drug toxicity?A BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small MoleculesLead discovery and in silico 3D structure modeling of tumorigenic FAM72A (p17).The application of FAST-NMR for the identification of novel drug discovery targetsAdvances in Nuclear Magnetic Resonance for Drug Discovery.3D Structure, Dimerization Modeling, and Lead Discovery by Ligand-protein Interaction Analysis of p60 Transcription Regulator Protein (p60TRP).New tools and new biology: recent miniaturized systems for molecular and cellular biology.GPCR 3D homology models for ligand screening: lessons learned from blind predictions of adenosine A2a receptor complex.Early repositioning through compound set enrichment analysis: a knowledge-recycling strategy.What is next for small-molecule drug discovery?Focus on success: using a probabilistic approach to achieve an optimal balance of compound properties in drug discovery.FAF-Drugs2: free ADME/tox filtering tool to assist drug discovery and chemical biology projects.ADDME--Avoiding Drug Development Mistakes Early: central nervous system drug discovery perspectiveA high-throughput 1,536-well luminescence assay for glutathione S-transferase activity.Integration of small-molecule discovery in academic biomedical researchDrug metabolism and pharmacokinetics, the blood-brain barrier, and central nervous system drug discovery.Reductionism and complexity in molecular biology. Scientists now have the tools to unravel biological and overcome the limitations of reductionismCharacterization of a melamino nitroheterocycle as a potential lead for the treatment of human african trypanosomiasis.Arylsulfanyl pyrazolones block mutant SOD1-G93A aggregation. Potential application for the treatment of amyotrophic lateral sclerosisLigand-directed profiling: applications to target drug discovery in cancer.Are natural products still the best source for antibacterial discovery? The bacterial entry factor.Analysing microarray data in drug discovery using systems biology.The current state of drug discovery and a potential role for NMR metabolomics.Development and thermodynamic evaluation of novel lipid raft stationary phase chromatography for screening potential antitumor agents.Tautomerism in computer-aided drug design.One size does not fit all: Challenging some dogmas and taboos in drug discovery.Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates.Disease-Specific Differentiation Between Drugs and Non-Drugs Using Principal Component Analysis of Their Molecular Descriptor Space.Can cell systems biology rescue drug discovery?Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach.Differences between high- and low-affinity complexes of enzymes and nonenzymes.Systems biology and cancer prevention: all options on the table.Computational drug discovery.The eradication of leprosy: molecular modeling techniques for novel drug discovery.Predicting the carcinogenicity of chemicals with alternative approaches: recent advances.Integrated gut/liver microphysiological systems elucidates inflammatory inter-tissue crosstalk.Rigorous treatment of multispecies multimode ligand-receptor interactions in 3D-QSAR: CoMFA analysis of thyroxine analogs binding to transthyretin.Synthesis and Biological Evaluation of Pentacycloundecylamines and Triquinylamines as Voltage-Gated Calcium Channel Blockers.
P2860
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P2860
description
2003 nî lūn-bûn
@nan
2003 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Drug research: myths, hype and reality.
@ast
Drug research: myths, hype and reality.
@en
type
label
Drug research: myths, hype and reality.
@ast
Drug research: myths, hype and reality.
@en
prefLabel
Drug research: myths, hype and reality.
@ast
Drug research: myths, hype and reality.
@en
P356
P1476
Drug research: myths, hype and reality.
@en
P2093
Hugo Kubinyi
P2888
P304
P356
10.1038/NRD1156
P577
2003-08-01T00:00:00Z
P5875
P6179
1022651316