Similarity-based virtual screening using 2D fingerprints
P Willett - Drug discovery today, 2006 - Elsevier
This paper summarizes recent work at the University of Sheffield on virtual screening
methods that use 2D fingerprint measures of structural similarity. A detailed comparison of a …
methods that use 2D fingerprint measures of structural similarity. A detailed comparison of a …
Molecular similarity: a key technique in molecular informatics
Molecular Informatics utilises many ideas and concepts to find relationships between
molecules. The concept of similarity, where molecules may be grouped according to their …
molecules. The concept of similarity, where molecules may be grouped according to their …
Chemical similarity searching
P Willett, JM Barnard, GM Downs - Journal of chemical information …, 1998 - ACS Publications
This paper reviews the use of similarity searching in chemical databases. It begins by
introducing the concept of similarity searching, differentiating it from the more common …
introducing the concept of similarity searching, differentiating it from the more common …
Do structurally similar molecules have similar biological activity?
YC Martin, JL Kofron… - Journal of medicinal …, 2002 - ACS Publications
To design diverse combinatorial libraries or to select diverse compounds to augment a
screening collection, computational chemists frequently reject compounds that are≥ 0.85 …
screening collection, computational chemists frequently reject compounds that are≥ 0.85 …
Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins
PS Charifson, JJ Corkery, MA Murcko… - Journal of medicinal …, 1999 - ACS Publications
We present the results of an extensive computational study in which we show that combining
scoring functions in an intersection-based consensus approach results in an enhancement …
scoring functions in an intersection-based consensus approach results in an enhancement …
[图书][B] Multi-sensor data fusion: an introduction
HB Mitchell - 2007 - books.google.com
The purpose of this book is to provide an introduction to the theories and techniques of multi-
sensor data fusion. The book has been designed as a text for a one-semester graduate …
sensor data fusion. The book has been designed as a text for a one-semester graduate …
[图书][B] 3D QSAR in drug design: volume 1: theory methods and applications
H Kubinyi - 1993 - books.google.com
Progress in medicinal chemistry and in drug design depends on our ability to understand the
interactions of drugs with their biological targets. Classical QSAR studies describe biological …
interactions of drugs with their biological targets. Classical QSAR studies describe biological …
Quantitative structure‐activity relationship methods: Perspectives on drug discovery and toxicology
Quantitative structure—activity relationships (QSARs) attempt to correlate chemical structure
with activity using statistical approaches. The QSAR models are useful for various purposes …
with activity using statistical approaches. The QSAR models are useful for various purposes …
Consensus scoring for protein–ligand interactions
M Feher - Drug discovery today, 2006 - Elsevier
This article reviews the application of consensus scoring for cases when the target 3D
structure is known. Comparing the performance of different methods is not a trivial task, and …
structure is known. Comparing the performance of different methods is not a trivial task, and …
Virtual screening of molecular databases using a support vector machine
RN Jorissen, MK Gilson - Journal of chemical information and …, 2005 - ACS Publications
The Support Vector Machine (SVM) is an algorithm that derives a model used for the
classification of data into two categories and which has good generalization properties. This …
classification of data into two categories and which has good generalization properties. This …