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Graph-based deep learning for drug-drug interaction prediction: a systematic review. [PDF]
Front ChemLiu X, Yu X, Dai Q.
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Human Adipose Allograft Restores Volume Through Host-mediated Tissue Replacement. [PDF]
Plast Reconstr Surg Glob OpenDanilkovitch A, Saunders MC, Tom S.
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Graph Kernels for Molecular Similarity
Molecular Informatics, 2010AbstractMolecular similarity measures are important for many cheminformatics applications like ligand‐based virtual screening and quantitative structure‐property relationships. Graph kernels are formal similarity measures defined directly on graphs, such as the (annotated) molecular structure graph. Graph kernels are positive semi‐definite functions, i.
Gisbert Schneider, Matthias Rupp
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Practical notes on building molecular graph generative models [PDF]
Applied AI Letters, 2020 Here are presented technical notes and tips on developing graph generative models for molecular design. This work stems from the development of GraphINVENT, a Python platform for graph-based molecular generation using graph neural networks. In this work,
Rocio Mercado +2 more
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Journal of Chemical Information and Computer Sciences, 2001
Walks in molecular graphs and their counts for a long time have found applications in theoretical chemistry. These are based on the fact that the (i, j)-entry of the kth power of the adjacency matrix is equal to the number of walks starting at vertex i, ending at vertex j, and having length k. In recent papers (refs 13, 18, 19) the numbers of all walks
Ivan Gutman +2 more
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Walks in molecular graphs and their counts for a long time have found applications in theoretical chemistry. These are based on the fact that the (i, j)-entry of the kth power of the adjacency matrix is equal to the number of walks starting at vertex i, ending at vertex j, and having length k. In recent papers (refs 13, 18, 19) the numbers of all walks
Ivan Gutman +2 more
openaire +4 more sources
Current Computer Aided-Drug Design, 2011
Since the last half of the nineteenth century, molecular graphs have been present in several branches of chemistry. When used for molecular structure representation, they have been compared after mapping the corresponding graphs into mathematical objects. However, direct molecular comparison of molecular graphs is a research field less explored.
Jenny A, Melo, Edgar, Daza
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Since the last half of the nineteenth century, molecular graphs have been present in several branches of chemistry. When used for molecular structure representation, they have been compared after mapping the corresponding graphs into mathematical objects. However, direct molecular comparison of molecular graphs is a research field less explored.
Jenny A, Melo, Edgar, Daza
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Chirality of Toroidal Molecular Graphs
Journal of Chemical Information and Modeling, 2005Symmetry properties of a class of toroidal molecular graphs, arising as covers of certain bipartite cubic Cayley graphs of dihedral groups, are studied. Although these symmetries make all vertices and all edges indistinguishable, they imply intrinsic chirality.
Klavdija Kutnar +2 more
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Molecular Electrostatic Potential as a Graph
Current Computer Aided-Drug Design, 2013We present several procedures to represent molecular electrostatic potential as a graph, based on the pattern of critical points and their neighborhood relations. This representation is used for the molecular electrostatic comparison, which is reduced to a comparison of tree-type graphs. Several methods to compare trees are also presented.
Edgar E, Daza, Julio, Maza, Raul, Torres
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1989
The purpose of this chapter is to present basic concepts of graph theory [1] as applied to organic chemistry [2–6]. The importance of graph theory in this large branch of chemistry consists in the existence of the phenomena of the structural formula and its isomerism.
J. Koča +4 more
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The purpose of this chapter is to present basic concepts of graph theory [1] as applied to organic chemistry [2–6]. The importance of graph theory in this large branch of chemistry consists in the existence of the phenomena of the structural formula and its isomerism.
J. Koča +4 more
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Graphs for Core Molecular Biology
2003A graphic language--the graphic ? calculus--modeling protein interactions at the domain level is introduced. Complexation, activation and mixed forms of interaction are expressed as graph rewriting rules. A compilation in a low-level graph rewriting calculus, called mobile ?, is given and shown to be correct up to some suitable notion of observational ...
Vincent Danos, Cosimo Laneve
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