Single-mode compound retrieval for QSAR, QSPR data sets, and batch mode exact structure searching.

نویسنده

  • Christopher A Lipinski
چکیده

This commentary describes two simple procedures using commercially available software packages that greatly facilitate the creation of and replication of data sets intended for quantitative structure activity relationship (QSAR) and quantitative structure property relationship (QSPR) studies. Used properly, the procedures allow the capture of individual chemical structures from the Chemical Abstracts Service (CAS) SciFinder software in a computer readable format that is recognized by most chemical database and computational calculation software packages. The researcher need not draw in a chemical structure to create a Molecular Design Limited (MDL) mol file, the 2D connection table format most commonly used to create the chemical depiction of compound or drug. The MDL mol format is needed so that properties can be calculated from the chemical structure alone. All that is required is that the compound or drug be located in SciFinder. The procedures are described in considerable detail because the key procedures for capturing structures from Chemical Abstracts Service (CAS) SciFinder through the use of Accelrys’Accord for Excel software are undocumented in either software. Also described is a batch procedure that allows search of CAS SciFinder for the exact chemical structure of up to 25 compounds. Without use of this procedure, Scifinder can only be searched for an exact chemical structure a single compoundat a time using a query consisting of a drawn in structure. Both the single-mode structure retrieval and batch-mode compound search procedures result in very significant time savings to the researcher creating or replicating QSAR/QSPR data sets and likelymay enable structure searches that previously might not have been attempted because of researcher time constraints. These procedures do not affect positively or negatively the cost to the user of the searches against the SciFinder software. These costs are determined by CAS policy, and depend on the numbers of structures/compounds searched. Locating a compound or drug in SciFinder is most accurately done using the CAS Registry Number. The CAS Registry Number uniquely identifies a specific compound and salt form. Older deleted CAS Registry Numbers for a specific compound may be encountered, but a search on the current (or older) CAS Registry Numbers will always bring up the correct compound. If different salt forms of the same compound exist in the CAS databases, they will have different CAS Registry Numbers. By contrast, a search by compound or drug namemay fail. IUPAC names for compounds are of no value in searches against SciFinder because IUPAC Names are not listed in the records. Commonly used drug names work fairly well. However, it is frequent to find variant or misspelled drug names in the scientific literature. A deviation between a search input name and the names stored in CAS databases in only a single letter or number will result in a search failure. Searchesusingdrug tradenames (as invery recent drugs) or company code numbers (as in early discovery stage compounds) fail more frequently than searches using common names.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Quality in the Human and Environmental Health Sciences: Using Statistical Confidence Scoring to Improve QSAR/QSPR Modeling

A greater number of toxicity data are becoming publicly available allowing for in silico modeling. However, questions often arise as to how to incorporate data quality and how to deal with contradicting data if more than a single datum point is available for the same compound. In this study, two well-known and studied QSAR/QSPR models for skin permeability and aquatic toxicology have been inves...

متن کامل

A Practical Overview of Quantitative Structure-activity Relationship

Quantitative structure-activity relationship (QSAR) modeling pertains to the construction of predictive models of biological activities as a function of structural and molecular information of a compound library. The concept of QSAR has typically been used for drug discovery and development and has gained wide applicability for correlating molecular information with not only biological activiti...

متن کامل

Application of Graph Theory: Relationship of Topological Indices with the Partition Coefficient (logP) of the Monocarboxylic Acids

It is well known that the chemical behavior of a compound is dependent upon the structure of itsmolecules. Quantitative structure – activity relationship (QSAR) studies and quantitative structure –property relationship (QSPR) studies are active areas of chemical research that focus on the nature ofthis dependency. Topological indices are the numerical value associated with chemical constitution...

متن کامل

Structure/Response Correlations and Similarity/Diversity Analysis by GETAWAY Descriptors, 2. Application of the Novel 3D Molecular Descriptors to QSAR/QSPR Studies

In a previous paper the theory of the new molecular descriptors called GETAWAY (GEometry, Topology, and Atom-Weights AssemblY) was explained. These descriptors have been proposed with the aim of matching 3D-molecular geometry, atom relatedness, and chemical information. In this paper prediction ability in structure-property correlations of GETAWAY descriptors has been tested extensively by anal...

متن کامل

QSPR Analysis with Curvilinear Regression Modeling and Topological Indices

Topological indices are the real number of a molecular structure obtained via molecular graph G. Topological indices are used for QSPR, QSAR and structural design in chemistry, nanotechnology, and pharmacology. Moreover, physicochemical properties such as the boiling point, the enthalpy of vaporization, and stability can be estimated by QSAR/QSPR models. In this study, the QSPR (Quantitative St...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Journal of pharmaceutical sciences

دوره 91 12  شماره 

صفحات  -

تاریخ انتشار 2002