Results 81 to 90 of about 4,217,992 (292)

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Graph Algorithm Animation with Grrr [PDF]

, 2000
We discuss geometric positioning, highlighting of visited nodes and user defined highlighting that form the algorithm animation facilities in the Grrr graph rewriting programming language. The main purpose of animation was initially for the debugging and
Peter J. Rodgers, Rodgers, Peter, Vidal, Natalia, Natalia Vidal   +3 more
core   +1 more source

Exploring antibody–antigen binding affinity using degree-based topological indices: a graph-theoretical approach

Frontiers in Chemistry
The binding affinity between an antibody and an antigen, measured by the equilibrium dissociation constant (Kd) and the associated Gibbs free energy of binding (ΔG), is key to immune recognition and the design of therapeutic antibodies.
Flemin Sajeev, Roy S
doaj   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source

Genus Distribution for a Graph [PDF]

, 2009
In this paper we develop the technique of a distribution decomposition for a graph. A formula is given to determine genus distribution of a cubic graph.
Liangxia, Wan, Yanpei, Liu, Hong-Jian, Lai   +2 more
core   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

FEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell, Thomas Walther, Egbert Hoiczyk   +2 more
wiley   +1 more source

Graph Homomorphism Revisited for Graph Matching [PDF]

, 2010
In a variety of emerging applications one needs to decide whether a graph G matches another Gp, i.e., whether G has a topological structure similar to that of Gp. The traditional notions of graph homomorphism and isomorphism often fall short of capturing
Li, Jianzhong, Ma, Shuai, Fan, Wenfei; id_orcid, Wu, Yinghui, Wang, Hongzhi   +4 more
core  

Tulgeity of Line, Middle and Total Graph of Wheel Graph Families [PDF]

, 2010
Tulgeity r(G) is the maximum number of disjoint, point induced, non acyclic subgraphs contained in G. In this paper one finds the tulgeity of line, middle and total graph of wheel graph, Gear graph and Helm ...
Vernold, Vivin, Ali, Akbar, Panayappan, V.   +2 more
core   +1 more source

molecular graph

, 2014
Citation: 'molecular graph' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.MT07069 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

On the Scalability of GNNs for Molecular Graphs

Advances in Neural Information Processing Systems 37
Scaling deep learning models has been at the heart of recent revolutions in language modelling and image generation. Practitioners have observed a strong relationship between model size, dataset size, and performance. However, structure-based architectures such as Graph Neural Networks (GNNs) are yet to show the benefits of scale mainly due to the ...
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini   +6 more
openaire   +3 more sources