High-Throughput Discovery of Ferrocene Mechanophores with Enhanced Reactivity and Network Toughening
NSF Center for the Chemistry of Molecularly Optimized Networks, Duke University, Durham, North Carolina 27708, United States Department of Chemistry, Duke University, Durham, North Carolina 27708, ...
The paper is now published at Nature Computational Science: "PropMolFlow: Property-guided Molecule Generation with Geometry-Complete Flow Matching", and Demo on an interative website Run the following ...
Provide a detailed and simple overview of Markov Models. Focus on their applications in investment banking, specifically in Mergers & Acquisitions (M&A), Private Placements, and risk analysis.
Graph Machine Learning (GML) is emerging as a revolutionary force in the world of artificial intelligence, offering a powerful approach to analyzing and learning from interconnected data. Unlike ...
RiceProteomeDB (RPDB): a user-friendly database for proteomics data storage, retrieval, and analysis
Over the past two decades, proteome data production and the efficiency of its analysis have seen an exponential increase, leading to the accumulation of data in the PRIDE (Proteomics Identification ...
Samara Center for Theoretical Material Science (SCTMS) Samara State Technical University, Molodogvardeyskaya Street 244, Samara 443100, Russian Federation Samara University, Ac. Pavlov Street 1, ...
Complex disease such as cancer is often caused by genetic mutations that eventually alter the signal flow in the intra-cellular signaling network and result in different cell fate. Therefore, it is ...
Introduced a new floating view Assembled XMILE loading (with simple parsing), SFD display, Graph-based representation, Graph-based simulation, and result display. Structure changed to suit this ...
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