相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。N-phenyl-6-chloro-4-hydroxy-2-quinolone-3-carboxamides: Molecular Docking, Synthesis, and Biological Investigation as Anticancer Agents
Dima A. Sabbah et al.
MOLECULES (2021)
Natural products in drug discovery: advances and opportunities
Atanas G. Atanasov et al.
NATURE REVIEWS DRUG DISCOVERY (2021)
In Silico Screening of Natural Products Isolated from Mexican Herbal Medicines against COVID-19
Nadia A. Rivero-Segura et al.
BIOMOLECULES (2021)
Accurate Estimation of pKb Values for Amino Groups from Surface Electrostatic Potential (VS,min) Calculations: The Isoelectric Points of Amino Acids as a Case Study
Jacinto Sandoval-Lira et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2020)
Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset
Robert Ancuceanu et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)
Druggability and drug-likeness concepts in drug design: are biomodelling and predictive tools having their say?
Clement Agoni et al.
JOURNAL OF MOLECULAR MODELING (2020)
Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019
David J. Newman et al.
JOURNAL OF NATURAL PRODUCTS (2020)
Cheminformatics Analysis and Modeling with MacrolactoneDB
Phyo Phyo Kyaw Zin et al.
SCIENTIFIC REPORTS (2020)
Docking of Platinum Compounds on Cube Rhombellane Functionalized Homeomorphs
Beata Szefler et al.
SYMMETRY-BASEL (2020)
Multivariate Chemometrics as a Strategy to Predict the Allergenic Nature of Food Proteins
Miroslava Nedyalkova et al.
SYMMETRY-BASEL (2020)
Development of Multi-Target Chemometric Models for the Inhibition of Class I PI3K Enzyme Isoforms: A Case Study Using QSAR-Co Tool
Amit Kumar Halder et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2019)
Calculation of VS,max and Its Use as a Descriptor for the Theoretical Calculation of pKa Values for Carboxylic Acids
Guillermo Caballero-Garcia et al.
MOLECULES (2019)
The role of natural products in modern drug discovery
Joao R. Calixto
ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS (2019)
Machine learning in chemoinformatics and drug discovery
Yu-Chen Lo et al.
DRUG DISCOVERY TODAY (2018)
Descriptors and their selection methods in QSAR analysis: paradigm for drug design
Danishuddin et al.
DRUG DISCOVERY TODAY (2016)
Cellular Metabolomics Revealed the Cytoprotection of Amentoflavone, a Natural Compound, in Lipopolysaccharide-Induced Injury of Human Umbilical Vein Endothelial Cells
Weifeng Yao et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2016)
New Frontiers in Druggability
Dima Kozakov et al.
JOURNAL OF MEDICINAL CHEMISTRY (2015)
Natural products: A continuing source of novel drug leads
Gordon M. Cragg et al.
BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS (2013)
Druggability predictions: methods, limitations, and applications
Xavier Barril
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE (2013)
Natural products: An evolving role in future drug discovery
Bhuwan B. Mishra et al.
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY (2011)
Structure-based maximal affinity model predicts small-molecule druggability
Alan C. Cheng et al.
NATURE BIOTECHNOLOGY (2007)
SHED: Shannon Entropy Descriptors from topological feature distributions
Elisabet Gregori-Puigjane et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2006)
Antiviral effects of saikosaponins on human coronavirus 229E in vitro
Pei-Win Cheng et al.
CLINICAL AND EXPERIMENTAL PHARMACOLOGY AND PHYSIOLOGY (2006)
Antiviral activities of extracts and selected pure constituents of Ocimum basilicum
LC Chiang et al.
CLINICAL AND EXPERIMENTAL PHARMACOLOGY AND PHYSIOLOGY (2005)
Identification of natural compounds with antiviral activities against SARS-associated coronavirus
SY Li et al.
ANTIVIRAL RESEARCH (2005)
Data integration: Challenges for drug discovery
DB Searls
NATURE REVIEWS DRUG DISCOVERY (2005)
Effects of prenylated flavonoids and biflavonoids on lipopolysaccharide-induced nitric oxide production from the mouse macrophage cell line RAW 264.7
BS Cheon et al.
PLANTA MEDICA (2000)
分享论文
