Searching substructures in fragment spaces

نویسندگان

  • Hans-Christian Ehrlich
  • Matthias Rarey
چکیده

Introduction Fragment spaces (FSs) are an elegant way to model a large or even infinite number of chemical compounds and their synthetic accessibility. A FS consists of molecular fragments and a set of rules defining how fragments can be combined to products. In virtual screening experiments, FSs might include products with undesired functional groups or inadequate central building blocks. The recognition of such products, especially when they span over multiple fragments, would require their explicit construction from the FS. Due to the generally huge number of possible products in an FS, the complete enumeration is undesired or even impossible. Therefore, algorithms that perform substructure search in FSs must be able to process fragments and joining rules rather than complete molecules. Even though some algorithms that work in FSs exist [1,2], a method that excludes undesired products via substructure definition from a FS is still missing.

برای دانلود رایگان 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

Analysis of Random Fragment Profiles for the Detection of Structure-Activity Relationships

Substructureor fragment-type descriptors are effective and widely used tools for chemical similarity searching and other applications in chemoinformatics and computer-aided drug discovery. Therefore, a large number of well-defined computational fragmentation schemes has been devised including hierarchical fragmentation of molecules for the analysis of core structures in drugs or retrosynthetic ...

متن کامل

Increasing the Coverage of Medicinal Chemistry-Relevant Space in Commercial Fragments Screening

Analyzing the chemical space coverage in commercial fragment screening collections revealed the overlap between bioactive medicinal chemistry substructures and rule-of-three compliant fragments is only ∼25%. We recommend including these fragments in fragment screening libraries to maximize confidence in discovering hit matter within known bioactive chemical space, while incorporation of nonover...

متن کامل

Interactions Between Weighting Scheme and Similarity Coefficient in Similarity-Based Virtual Screening

Similarity searching is one of the most common methods for ligand-based virtual screening, and is normally carried out using the Tanimoto coefficient with binary fingerprints. However, a recent study has suggested that it may be less appropriate for use with weighted fingerprints in some circumstances. This paper compares the Tanimoto coefficient with other coefficients, and demonstrates that o...

متن کامل

Random molecular substructures as fragment-type descriptors

A novel approach for analysis of structure-activity relationships for sets of active compounds is reported. Molecular similarity relationships are analyzed among compounds with related biological activity based on the evaluation of randomly generated fragment populations. Fragments are randomly generated by iterative bond deletion in molecular graphs and hence depart from those obtained by well...

متن کامل

Knowledge-based Fragment Binding Prediction

Target-based drug discovery must assess many drug-like compounds for potential activity. Focusing on low-molecular-weight compounds (fragments) can dramatically reduce the chemical search space. However, approaches for determining protein-fragment interactions have limitations. Experimental assays are time-consuming, expensive, and not always applicable. At the same time, computational approach...

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

عنوان ژورنال:

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2011