Chemicalize

Last updated
Chemicalize
Chemicalize logo.svg
Welcome page of Chemicalize Welcome page of Chemicalize.png
Welcome page of Chemicalize
Welcome page of Chemicalize
Type of site
Chemical property predictions, Structure-based database search
Owner ChemAxon
URL chemicalize.com
LaunchedJanuary 11, 2009;11 years ago (2009-01-11)
Current statusOnline

Chemicalize is an online platform for chemical calculations, search, and text processing. [1] It is developed and owned by ChemAxon and offers various cheminformatics tools in freemium model: chemical property predictions, structure-based and text-based search, chemical text processing, and checking compounds with respect to national regulations of different countries.

Contents

Modules of Chemicalize

Calculations

Chemical property predictions for any molecule structure. Available calculations include elemental analysis, names and identifiers (IUPAC name, SMILES, InChI), pKa, logP/logD, and solubility. [2]

Chemical Search

Structure-based and text-based search against the Chemicalize database to find web page sources and associated structures of the results. [3]

Compliance Checker

Checking compounds with respect to national regulations of several countries on narcotics, psychotropic drugs, explosives, hazardous materials, and toxic agents.

Short history

January 2009Original service launched

The service was launched with the brand name chemicalize.org. The main purpose was to identify chemical names on websites, but other services were also provided, such as property predictions and chemical search.

August 2010ChemSpider integration

Predicted chemical properties provided by Chemicalize were integrated to ChemSpider. [4] ChemSpider record pages contain links to access predicted properties on Chemicalize for the considered structure.

September 2016Renewed version

The platform was renewed using a new brand name Chemicalize. [5] The new version offers enriched functionality in freemium model.

May 2018Chemicalize Professional released

Embeddable web components and hosted cheminformatics services, for web developers and integrators, based on Chemicalize cloud infrastructure.

List of the predicted structure-based properties

The chemical properties and calculations shown through the example of the Vinpocetine. Chemicalize calculation.png
The chemical properties and calculations shown through the example of the Vinpocetine.

See also

Related Research Articles

Solubility Capacity of a substance to dissolve in a solvent in a homogeneous way

Solubility is the property of a solid, liquid or gaseous chemical substance called solute to dissolve in a solid, liquid or gaseous solvent. The solubility of a substance fundamentally depends on the physical and chemical properties of the solute and solvent as well as on temperature, pressure and presence of other chemicals of the solution. The extent of the solubility of a substance in a specific solvent is measured as the saturation concentration, where adding more solute does not increase the concentration of the solution and begins to precipitate the excess amount of solute.

A chemical database is a database specifically designed to store chemical information. This information is about chemical and crystal structures, spectra, reactions and syntheses, and thermophysical data.

Cheminformatics refers to use of physical chemistry theory with computer and information science techniques—so called "in silico" techniques—in application to a range of descriptive and prescriptive problems in the field of chemistry, including in its applications to biology and related molecular fields. Such in silico techniques are used, for example, by pharmaceutical companies and in academic settings to aid and inform the process of drug discovery, for instance in the design of well-defined combinatorial libraries of synthetic compounds, or to assist in structure-based drug design. The methods can also be used in chemical and allied industries, and such fields as environmental science and pharmacology, where chemical processes are involved or studied.

In the physical sciences, a partition coefficient (P) or distribution coefficient (D) is the ratio of concentrations of a compound in a mixture of two immiscible solvents at equilibrium. This ratio is therefore a comparison of the solubilities of the solute in these two liquids. The partition coefficient generally refers to the concentration ratio of un-ionized species of compound, whereas the distribution coefficient refers to the concentration ratio of all species of the compound.

Quantitative structure–activity relationship models are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable (Y), while classification QSAR models relate the predictor variables to a categorical value of the response variable.

Lipinskis rule of five

Lipinski's rule of five, also known as Pfizer's rule of five or simply the rule of five (RO5), is a rule of thumb to evaluate druglikeness or determine if a chemical compound with a certain pharmacological or biological activity has chemical properties and physical properties that would make it a likely orally active drug in humans. The rule was formulated by Christopher A. Lipinski in 1997, based on the observation that most orally administered drugs are relatively small and moderately lipophilic molecules.

Pharmacophore abstract description of molecular features that are necessary for molecular recognition of a ligand by a biological macromolecule

A pharmacophore is an abstract description of molecular features that are necessary for molecular recognition of a ligand by a biological macromolecule. IUPAC defines a pharmacophore to be "an ensemble of steric and electronic features that is necessary to ensure the optimal supramolecular interactions with a specific biological target and to trigger its biological response". A pharmacophore model explains how structurally diverse ligands can bind to a common receptor site. Furthermore, pharmacophore models can be used to identify through de novo design or virtual screening novel ligands that will bind to the same receptor.

A molecule editor is a computer program for creating and modifying representations of chemical structures.

Chemical space

Chemical space is a concept in cheminformatics referring to the property space spanned by all possible molecules and chemical compounds adhering to a given set of construction principles and boundary conditions. It contains millions of compounds which are readily accessible and available to researchers. It is a library used in the method of molecular docking.

The IUPAC International Chemical Identifier is a textual identifier for chemical substances, designed to provide a standard way to encode molecular information and to facilitate the search for such information in databases and on the web. Initially developed by IUPAC and NIST from 2000 to 2005, the format and algorithms are non-proprietary.

PubChem is a database of chemical molecules and their activities against biological assays. The system is maintained by the National Center for Biotechnology Information (NCBI), a component of the National Library of Medicine, which is part of the United States National Institutes of Health (NIH). PubChem can be accessed for free through a web user interface. Millions of compound structures and descriptive datasets can be freely downloaded via FTP. PubChem contains multiple substance descriptions and small molecules with fewer than 100 atoms and 1000 bonds. More than 80 database vendors contribute to the growing PubChem database.

Polar surface area

The polar surface area (PSA) or topological polar surface area (TPSA) of a molecule is defined as the surface sum over all polar atoms or molecules, primarily oxygen and nitrogen, also including their attached hydrogen atoms.

ChemSpider

ChemSpider is a database of chemicals. ChemSpider is owned by the Royal Society of Chemistry.

ChemAxon is a cheminformatics and bioinformatics software development company specializing in cloud based, end user solutions, back end platforms and consultancy services for chemical and biological research. Headquartered in Budapest, Hungary with 121 employees. The company also operates business and consultancy offices in Cambridge, MA, San Diego, CA, and in Prague. ChemAxon has distributors in China, India, Japan, South Korea, Singapore, and Australia. ChemAxon provides solutions, platforms, applications, and consultancy services for handling chemical and biological entities for the pharmaceutical, biotechnology, new materials, fine-, petro- and agrochemical, food and cosmetics industries. ChemAxon supports academic institutions through special software licensing programs for students, teachers, academic researchers, and high school curriculums. Tools and software solutions are offered to academic research groups wishing to integrate cheminformatic functionalities into open website platforms via web hosting services.

Druglikeness is a qualitative concept used in drug design for how "druglike" a substance is with respect to factors like bioavailability. It is estimated from the molecular structure before the substance is even synthesized and tested. A druglike molecule has properties such as:

ChEMBL

ChEMBL or ChEMBLdb is a manually curated chemical database of bioactive molecules with drug-like properties. It is maintained by the European Bioinformatics Institute (EBI), of the European Molecular Biology Laboratory (EMBL), based at the Wellcome Trust Genome Campus, Hinxton, UK.

Antony John Williams

Antony John Williams is a British chemist and expert in the fields of both nuclear magnetic resonance (NMR) spectroscopy and cheminformatics at the United States Environmental Protection Agency. He is the founder of the ChemSpider website that was purchased by the Royal Society of Chemistry in May 2009. He is a science blogger, one of the hosts of the SciMobileApps wiki, a community-based wiki for Scientific Mobile Apps and an author.

Dotmatics is a scientific informatics company, focusing on data management, analysis and visualization. Founded in 2005, the company's headquarters are in Bishops Stortford, Hertfordshire, England and has two US offices in San Diego, CA and Woburn, MA. Dotmatics provides software to half of the world's 20 largest drugmakers.

Matched molecular pair analysis (MMPA) is a method in cheminformatics that compares the properties of two molecules that differ only by a single chemical transformation, such as the substitution of a hydrogen atom by a chlorine one. Such pairs of compounds are known as matched molecular pairs (MMP). Because the structural difference between the two molecules is small, any experimentally observed change in a physical or biological property between the matched molecular pair can more easily be interpreted. The term was first coined by Kenny and Sadowski in the book Chemoinformatics in Drug Discovery.

Molecular Operating Environment is a drug discovery software platform that integrates visualization, modeling and simulations, as well as methodology development, in one package. MOE scientific applications are used by biologists, medicinal chemists and computational chemists in pharmaceutical, biotechnology and academic research. MOE runs on Windows, Linux, Unix, and macOS. Main application areas in MOE include structure-based design, fragment-based design, pharmacophore discovery, medicinal chemistry applications, biologics applications, protein and antibody modeling, molecular modeling and simulations, cheminformatics & QSAR. The Scientific Vector Language (SVL) is the built-in command, scripting and application development language of MOE.

References

  1. Swain, Matthew (2012). "chemicalize.org". J. Chem. Inf. Model. 52 (2): 613–615. doi:10.1021/ci300046g.
  2. "Chapter 35. Web Alert: Using the Internet for Medicinal Chemistry". The Practice of Medicinal Chemistry. Elsevier. 2015. p. 833. ISBN   9780124172135.
  3. "Software and Online Resources: Perspectives and Potential Applications". Foodinformatics: Applications of Chemical Information to Food Chemistry. Springer. 2014. p. 243. ISBN   9783319102269.
  4. Williams, Antony (2010). "ChemSpider Integrates Chemicalize". ChemSpider Blog. Archived from the original on 2011-07-12. Retrieved 2011-05-25.
  5. Figyelmesi, Árpád (2016). The New Chemicalize (PDF). ChemAxon UGM. Budapest.