Motivation: Software applications for structural similarity searching and clustering of small molecules play an important role in drug discovery and chemical genomics. Here, we present the first open-source compound mining framework for the popular statistical programming environment R. The integration with a powerful statistical environment maximizes the flexibility, expandability and programmability of the provided analysis functions. Results: We discuss the algorithms and compound mining utilities provided by the R package ChemmineR. It contains functions for structural similarity searching, clustering of compound libraries with a wide spectrum of classification algorithms and various utilities for managing complex compound data. It also...
Small-compound databases contain a large amount of information for metabolites and metabolic pathway...
Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or c...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
MotivationSoftware applications for structural similarity searching and clustering of small molecule...
The ChemmineR package includes functions for calculating atom pair de-scriptors of chemical compound...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowle...
ChemBioServer 2.0 is the advanced sequel of a web server for filtering, clustering and networking of...
The flexibility and scope of the R programming environment has made it a popular choice for statisti...
Thesis by publication."A thesis submitted to Macquarie University in fulfilment of the degree of Doc...
Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or c...
This article reviews current achievements in the field of chemoinformatics and their impact on moder...
Substructure mining is a well-established technique used frequently in drug discovery. Its aim is to...
Abstract. Structural activity prediction is one of the most important tasks in chemoinformatics. The...
Small-compound databases contain a large amount of information for metabolites and metabolic pathway...
Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or c...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
MotivationSoftware applications for structural similarity searching and clustering of small molecule...
The ChemmineR package includes functions for calculating atom pair de-scriptors of chemical compound...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowle...
ChemBioServer 2.0 is the advanced sequel of a web server for filtering, clustering and networking of...
The flexibility and scope of the R programming environment has made it a popular choice for statisti...
Thesis by publication."A thesis submitted to Macquarie University in fulfilment of the degree of Doc...
Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or c...
This article reviews current achievements in the field of chemoinformatics and their impact on moder...
Substructure mining is a well-established technique used frequently in drug discovery. Its aim is to...
Abstract. Structural activity prediction is one of the most important tasks in chemoinformatics. The...
Small-compound databases contain a large amount of information for metabolites and metabolic pathway...
Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or c...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...