The EVA spectral descriptor.

نویسندگان

  • D B Turner
  • P Willett
چکیده

The EVA descriptor is derived from fundamental IR and Raman range molecular vibrational frequencies. EVA is sensitive to 3-D structure, but has an advantage over field-based 3-D QSAR methods inasmuch as it is invariant to both translation and rotation of the structures concerned and thus structural superposition is not required. The latter property and the demonstration of the effectiveness of the descriptor for QSAR means that EVA has been the subject of a great deal of interest from the modelling community. This review describes the derivation of the descriptor, details its main parameters and how to apply them, and provides an overview of the validation that has been done with the descriptor. A recent enhancement to the technique is described which involves the localised adjustment of variance in such a way that enhanced internal and external predictability may be obtained. Despite the statistical quality of EVA QSAR models, the main draw-back to the descriptor at present is the difficulty associated with back-tracking from a PLS model to an EVA pharmacophore. Brief comment is made on the use of the EVA descriptor for diversity studies and the similarity searching of chemical structure databases.

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

Evaluation of the EVA Descriptor for QSAR Studies : 3

The EVA structural descriptor, based upon calculated fundamental molecular vibrational frequencies, has proved to be an effective descriptor for both QSAR and database similarity calculations. The descriptor is sensitive to 3D structure but has an advantage over field-based 3D-QSAR methods inasmuch as structural superposition is not required. The original technique involves a standardisation me...

متن کامل

Infrared Spectra Information and Their Correlation with QSAR Descriptors

In principle, the InfraRed (IR) spectra have very appealing properties for QSAR research: they are generated in the range of low energy molecular interactions that play a fundamental role in life (e.g., for molecular recognition), and they are extremely specific fingerprints of the molecules. We compared the information carried by the fingerprint region of the IR spectra (1500-600 cm-1) with th...

متن کامل

Spectral Sensitivity of Sensors for a Color-Image Descriptor Invariant to Changes in Daylight Conditions

Previous authors (J Opt Soc Am A 2000; 17: 1952–1961; J Opt Soc Am A 2001; 18: 253–264) have proposed a pixel-by-pixel image descriptor that is invariant to certain changes in illumination. We have studied the possibility of applying such an invariant descriptor to scenery illuminated by natural light, by choosing sensors that allow the invariant to behave satisfactorily under daylight. We obta...

متن کامل

A structure-odour relationship study using EVA descriptors and hierarchical clustering.

Structure-odour relationship analyses using hierarchical clustering were carried out on a diverse dataset of 47 molecules. These molecules were divided into seven odour categories: ambergris, bitter almond, camphoraceous, rose, jasmine, muguet, and musk. The alignment-independent descriptor EVA (EigenVAlue) was used as the molecular descriptor. The results were compared with those of another ki...

متن کامل

Shape-based Spectral Contrast Descriptor

Mel-frequency cepstral coefficients are used as an abstract representation of the spectral envelope of a given signal. Although they have been shown to be a powerful descriptor for speech and music signals, more accurate and easily interpretable options can be devised. In this study, we present and evaluate the shape-based spectral contrast descriptor, which is build up from the previously prop...

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:
  • European journal of medicinal chemistry

دوره 35 4  شماره 

صفحات  -

تاریخ انتشار 2000