Results 81 to 90 of about 908,779 (266)
Topological edge properties of C60+12n fullerenes
A molecular graph M is a simple graph in which atoms and chemical bonds are the vertices and edges of M, respectively. The molecular graph M is called a fullerene graph, if M is the molecular graph of a fullerene molecule.
A. Mottaghi, Ali R. Ashrafi
doaj +1 more source
Non-adaptive Group Testing on Graphs
Grebinski and Kucherov (1998) and Alon et al. (2004-2005) study the problem of learning a hidden graph for some especial cases, such as hamiltonian cycle, cliques, stars, and matchings.
Kameli, Hamid
core +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Molecular graph generation with Graph Neural Networks
20 pages, 4 figures (2 figures are composed of double images, for a total of 6 images)
Bongini, Pietro +2 more
openaire +2 more sources
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece +18 more
wiley +1 more source
Total and Double Total Domination Number on Hexagonal Grid
In this paper, we determine the upper and lower bound for the total domination number and exact values and the upper bound for the double-total domination number on hexagonal grid H m , n with m hexagons in a row and n hexagons in a column ...
Antoaneta Klobučar, Ana Klobučar
doaj +1 more source
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials [PDF]
Neural message passing on molecular graphs is one of the most promising methods for predicting formation energy and other properties of molecules and materials.
Jacobsen, Karsten Wedel +2 more
core +1 more source
Graph Convolutional Networks (GCNs) for Molecular Property Prediction in Drug Development [PDF]
Molecular property prediction is key to drug development. The rising of deep learning techniques provides new possibilities to learn the molecular properties directly from chemical data.
Song, Yifan
core
Survivin and Aurora Kinase A control cell fate decisions during mitosis
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir +2 more
wiley +1 more source
Eccentricity-Based Topological Indices of a Cyclic Octahedron Structure
In this article, we study the chemical graph of a cyclic octahedron structure of dimension n and compute the eccentric connectivity polynomial, the eccentric connectivity index, the total eccentricity, the average eccentricity, the first Zagreb index ...
Manzoor Ahmed Zahid +3 more
doaj +1 more source

