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Can graph neural networks count substructures?
The ability to detect and count certain substructures in graphs is important for solving many
tasks on graph-structured data, especially in the contexts of computational chemistry and …
tasks on graph-structured data, especially in the contexts of computational chemistry and …
[HTML][HTML] Open source molecular modeling
The success of molecular modeling and computational chemistry efforts are, by definition,
dependent on quality software applications. Open source software development provides …
dependent on quality software applications. Open source software development provides …
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy
Y Djoumbou Feunang, R Eisner, C Knox… - Journal of …, 2016 - Springer
Background Scientists have long been driven by the desire to describe, organize, classify,
and compare objects using taxonomies and/or ontologies. In contrast to biology, geology …
and compare objects using taxonomies and/or ontologies. In contrast to biology, geology …
The Chemistry Development Kit (CDK) v2. 0: atom ty**, depiction, molecular formulas, and substructure searching
Abstract Background The Chemistry Development Kit (CDK) is a widely used open source
cheminformatics toolkit, providing data structures to represent chemical concepts along with …
cheminformatics toolkit, providing data structures to represent chemical concepts along with …
Sha** the interaction landscape of bioactive molecules
Motivation: Most bioactive molecules perform their action by interacting with proteins or other
macromolecules. However, for a significant fraction of them, the primary target remains …
macromolecules. However, for a significant fraction of them, the primary target remains …
ChemMine tools: an online service for analyzing and clustering small molecules
ChemMine Tools is an online service for small molecule data analysis. It provides a web
interface to a set of cheminformatics and data mining tools that are useful for various …
interface to a set of cheminformatics and data mining tools that are useful for various …
Computational biology in the 21st century: Scaling with compressive algorithms
Computational biology in the 21st century: scaling with compressive algorithms Page 1 72
COMMUNICATIONS OF THE ACM | AUGUST 2016 | VOL. 59 | NO. 8 review articles DOI:10.1145/2957324 …
COMMUNICATIONS OF THE ACM | AUGUST 2016 | VOL. 59 | NO. 8 review articles DOI:10.1145/2957324 …
Predicting cancer drug response using a recommender system
Motivation As we move toward an era of precision medicine, the ability to predict patient-
specific drug responses in cancer based on molecular information such as gene expression …
specific drug responses in cancer based on molecular information such as gene expression …
Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching
Polyketides (PKs) and nonribosomal peptides (NRPs) are profoundly important natural
products, forming the foundations of many therapeutic regimes. Decades of research have …
products, forming the foundations of many therapeutic regimes. Decades of research have …
Making sense of chemical space network shows signs of criticality
Chemical space modelling has great importance in unveiling and visualising latent
information, which is critical in predictive toxicology related to drug discovery process. While …
information, which is critical in predictive toxicology related to drug discovery process. While …