Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
EurekAlert!

Faster and more reliable crystal structure prediction of organic molecules

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
The EMBO Journal

Viro3D: a comprehensive database of virus protein structure predictions

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Viro3D provides proteome-level, high ...
GitHub

Database Structure Diagrams

You can view a database structure in the standard ERD (Entity Relation Diagram) form. Diagrams are available for all tables and schemas (databases). To view the Diagram for a full database schema, ...
SciELO

Invasive plant and honeybee alter native plant-pollinator network structure in dry forest

Invasive species pose a critical threat to ecosystems, with far-reaching consequences. Invasive plants can directly interact with native pollinators, while wind-pollinated grasses indirectly alter ...
IEEE

Analyzing the Semantic Structure of Network Flow: A Threat Detection Method With Independent Generalization Capabilities

Abstract: Network threat detection and identification remain fundamental tasks in cyberspace defence. Existing graph-based detection methods exhibit limited capabilities in transformability and ...
eLife

Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...