Cheminformatics to Characterize Pharmacologically Active Natural Products
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Cheminformatics to Characterize Pharmacologically Active Natural Products
Authors
Keywords
-
Journal
Biomolecules
Volume 10, Issue 11, Pages 1566
Publisher
MDPI AG
Online
2020-11-18
DOI
10.3390/biom10111566
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The impact of chemoinformatics on drug discovery in the pharmaceutical industry
- (2020) Karina Martinez-Mayorga et al. Expert Opinion on Drug Discovery
- Visualization of very large high-dimensional data sets as minimum spanning trees
- (2020) Daniel Probst et al. Journal of Cheminformatics
- Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019
- (2020) David J. Newman et al. JOURNAL OF NATURAL PRODUCTS
- A Fragment Library of Natural Products and its Comparative Chemoinformatic Characterization
- (2020) Ana L. Chávez‐Hernández et al. Molecular Informatics
- A Review on Applications of Computational Methods in Drug Screening and Design
- (2020) Xiaoqian Lin et al. MOLECULES
- Review on natural products databases: where to find data in 2020
- (2020) Maria Sorokina et al. Journal of Cheminformatics
- Computational-aided design of a library of lactams through a diversity-oriented synthesis strategy
- (2020) Fernanda I. Saldívar-González et al. BIOORGANIC & MEDICINAL CHEMISTRY
- Fsp3: A new parameter for drug-likeness
- (2020) Wenxiu Wei et al. DRUG DISCOVERY TODAY
- Lessons from Exploring Chemical Space and Chemical Diversity of Propolis Components
- (2020) Trong D. Tran et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Chemical Space and Diversity of Seaweed Metabolite Database (SWMD): A Cheminformatics Study
- (2020) Ahmed H. Al Sharie et al. JOURNAL OF MOLECULAR GRAPHICS & MODELLING
- Cheminformatics in Natural Product‐Based Drug Discovery
- (2020) Ya Chen et al. Molecular Informatics
- In Silico ADME/Tox Profiling of Natural Products: A Focus on BIOFACQUIM
- (2020) Noemi Angeles Durán-Iturbide et al. ACS Omega
- Chemistry in Times of Artificial Intelligence
- (2020) Johann Gasteiger CHEMPHYSCHEM
- Pharmacoinformatic Investigation of Medicinal Plants from East Africa
- (2020) Conrad V. Simoben et al. Molecular Informatics
- Molecules Isolated from Mexican Hypoglycemic Plants: A Review
- (2020) Sonia Marlen Escandón-Rivera et al. MOLECULES
- StreptomeDB 3.0: an updated compendium of streptomycetes natural products
- (2020) Aurélien F A Moumbock et al. NUCLEIC ACIDS RESEARCH
- The Acid/Base Profile of a Large Food Chemical Database
- (2019) Marisa G. Santibáñez-Morán et al. Molecular Informatics
- DataWarrior: an evaluation of the open-source drug discovery tool
- (2019) Edgar López-López et al. Expert Opinion on Drug Discovery
- Design, Synthesis and Phenotypic Profiling of Pyrano-Furo-Pyridone Pseudo Natural Products
- (2019) Herbert Waldmann et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Chemical Diversity of Cyanobacterial Compounds: A Chemoinformatics Analysis
- (2019) Mariana González-Medina et al. ACS Omega
- Reaching for the bright StARs in chemical space
- (2019) José L. Medina-Franco et al. DRUG DISCOVERY TODAY
- Analysis of the Acid/Base Profile of Natural Products from Different Sources
- (2019) Marisa G. Santibáñez‐Morán et al. Molecular Informatics
- An Overview of Machine Learning and Big Data for Drug Toxicity Evaluation
- (2019) Andy H. Vo et al. CHEMICAL RESEARCH IN TOXICOLOGY
- A drug-likeness toolbox facilitates ADMET study in drug discovery
- (2019) Chen-Yang Jia et al. DRUG DISCOVERY TODAY
- Prediction of Oral Bioavailability in Rats: Transferring Insights from in Vitro Correlations to (Deep) Machine Learning Models Using in Silico Model Outputs and Chemical Structure Parameters
- (2019) Sebastian Schneckener et al. Journal of Chemical Information and Modeling
- ADMET profiling of geographically diverse phytochemical using chemoinformatic tools
- (2019) Shehnaz Fatima et al. Future Medicinal Chemistry
- In Silico Workflow for the Discovery of Natural Products Activating the G Protein-Coupled Bile Acid Receptor 1
- (2018) Benjamin Kirchweger et al. Frontiers in Chemistry
- Chemical Space and Diversity of the NuBBE Database: A Chemoinformatic Characterization
- (2018) Fernanda I. Saldívar-González et al. Journal of Chemical Information and Modeling
- ChEMBL: towards direct deposition of bioassay data
- (2018) David Mendez et al. NUCLEIC ACIDS RESEARCH
- Inhibitors of DNA Methyltransferases From Natural Sources: A Computational Perspective
- (2018) Fernanda I. Saldívar-González et al. Frontiers in Pharmacology
- Data Resources for the Computer-Guided Discovery of Bioactive Natural Products
- (2017) Ya Chen et al. Journal of Chemical Information and Modeling
- De novo computational design of compounds virtually displaying potent antibacterial activity and desirable in vitro ADMET profiles
- (2017) Alejandro Speck-Planche et al. MEDICINAL CHEMISTRY RESEARCH
- Cheminformatic characterization of natural products from Panama
- (2017) Dionisio A. Olmedo et al. MOLECULAR DIVERSITY
- Open chemoinformatic resources to explore the structure, properties and chemical space of molecules
- (2017) Mariana González-Medina et al. RSC Advances
- Getting SMARt in drug discovery: chemoinformatics approaches for mining structure–multiple activity relationships
- (2017) Fernanda I. Saldívar-González et al. RSC Advances
- On the origins of three-dimensionality in drug-like molecules
- (2016) Joshua Meyers et al. Future Medicinal Chemistry
- Consensus Diversity Plots: a global diversity analysis of chemical libraries
- (2016) Mariana González-Medina et al. Journal of Cheminformatics
- Progress in visual representations of chemical space
- (2015) Dmitry I Osolodkin et al. Expert Opinion on Drug Discovery
- DataWarrior: An Open-Source Program For Chemistry Aware Data Visualization And Analysis
- (2015) Thomas Sander et al. Journal of Chemical Information and Modeling
- pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures
- (2015) Douglas E. V. Pires et al. JOURNAL OF MEDICINAL CHEMISTRY
- Molecular Targets of Cannabidiol in Neurological Disorders
- (2015) Clementino Ibeas Bih et al. Neurotherapeutics
- Chemoinformatics for medicinal chemistry: in silico model to enable the discovery of potent and safer anti-cocci agents
- (2014) Alejandro Speck-Planche et al. Future Medicinal Chemistry
- Stochastic Voyages into Uncharted Chemical Space Produce a Representative Library of All Possible Drug-Like Compounds
- (2013) Aaron M. Virshup et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- An in silico evaluation of the ADMET profile of the StreptomeDB database
- (2013) Fidele Ntie-Kang SpringerPlus
- Molecular Scaffold Analysis of Natural Products Databases in the Public Domain
- (2012) Austin B. Yongye et al. Chemical Biology & Drug Design
- The significance of acid/base properties in drug discovery
- (2012) David T. Manallack et al. CHEMICAL SOCIETY REVIEWS
- Escape from Flatland 2: complexity and promiscuity
- (2012) Frank Lovering MedChemComm
- Scaffold Diversity of Exemplified Medicinal Chemistry Space
- (2011) Sarah R. Langdon et al. Journal of Chemical Information and Modeling
- Chemoinformatic Analysis of Combinatorial Libraries, Drugs, Natural Products, and Molecular Libraries Small Molecule Repository
- (2009) Narender Singh et al. Journal of Chemical Information and Modeling
- Scaffold Diversity Analysis of Compound Data Sets Using an Entropy-Based Measure
- (2009) Joseâ L. Medina-Franco et al. Quantitative structure-activity relationships & combinatorial science
- Visualization of the Chemical Space in Drug Discovery
- (2008) Jose Medina-Franco et al. Current Computer-Aided Drug Design
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started