In this paper we present the work in progress on LogCHEM, an ILP based tool for discriminative interactive mining of chemical fragments. In particular, we describe the integration with a molecule visualisation software that allows the chemist to graphically control the search for interesting patterns in chemical fragments. Furthermore, we show how structured information, such as rings, functional groups like carboxyl, amine, methyl, ester, etc are integrated and exploited in LogCHEM
The discovery of the relationships between chemical structure and biological function is central to ...
Computers are increasingly being used to manage the deluge of experimental and computational data th...
The drug discovery process relies heavily on chemical substructure and similarity search results for...
One of the most well known successes of Inductive Logic Programming (ILP) is on Structure-Activity R...
Abstract. Structural activity prediction is one of the most important tasks in chemoinformatics. The...
Chemistry today has to face a critical challenge, whose success necessitates high-performance comput...
One of the main problems of drug design is that it is quite hard to discover compounds that have all...
We present an algorithm to find fragments in a set of molecules that help to discriminate between di...
Abstract. The main task of drug discovery is to find novel bioactive molecules, i.e., chemical compo...
We present an algorithm to find fragments in a set of molecules that help to discriminate between di...
We present an algorithm to find fragments in a set of molecules that help to discriminate between di...
Facilitating the visual exploration of scientific data has received increasing attention in the pas...
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hy...
Motivation: Software applications for structural similarity searching and clustering of small molecu...
Substructure mining is a well-established technique used frequently in drug discovery. Its aim is to...
The discovery of the relationships between chemical structure and biological function is central to ...
Computers are increasingly being used to manage the deluge of experimental and computational data th...
The drug discovery process relies heavily on chemical substructure and similarity search results for...
One of the most well known successes of Inductive Logic Programming (ILP) is on Structure-Activity R...
Abstract. Structural activity prediction is one of the most important tasks in chemoinformatics. The...
Chemistry today has to face a critical challenge, whose success necessitates high-performance comput...
One of the main problems of drug design is that it is quite hard to discover compounds that have all...
We present an algorithm to find fragments in a set of molecules that help to discriminate between di...
Abstract. The main task of drug discovery is to find novel bioactive molecules, i.e., chemical compo...
We present an algorithm to find fragments in a set of molecules that help to discriminate between di...
We present an algorithm to find fragments in a set of molecules that help to discriminate between di...
Facilitating the visual exploration of scientific data has received increasing attention in the pas...
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hy...
Motivation: Software applications for structural similarity searching and clustering of small molecu...
Substructure mining is a well-established technique used frequently in drug discovery. Its aim is to...
The discovery of the relationships between chemical structure and biological function is central to ...
Computers are increasingly being used to manage the deluge of experimental and computational data th...
The drug discovery process relies heavily on chemical substructure and similarity search results for...