Results 41 to 50 of about 12,562 (254)

Approaching transglutaminase from Streptomyces bacteria over three decades

The FEBS Journal, Volume 289, Issue 16, Page 4680-4703, August 2022., 2022
The review focuses on microbial transglutaminases to highlight the current state of knowledge in catalysis. Reassessment of available data suggests self‐assembly of the substrate proteins, with glutamine and lysine residues arranged in pairs to be cross‐linked by transglutaminase.
Hans‐Lothar Fuchsbauer
wiley   +1 more source

Slime mold on the rise: the physics of Physarum polycephalum

Journal of Physics D: Applied Physics, 2020
The slime mold Physarum polycephalum has long been used as a model system for the study of motility, cell cycle, differentiation, and other cell biological topics.
Christina Oettmeier, T. Nakagaki, H. Döbereiner   +2 more
semanticscholar   +1 more source

Towards a Stationary Monge-Kantorovich Dynamics: The Physarum Polycephalum Experience [PDF]

SIAM Journal on Applied Mathematics, 2016
In this work we propose an extension to the continuous setting of a model describing the dynamics of slime mold, Physarum Polycephalum (PP), which was proposed to simulate the ability of PP to find the shortest path connecting two food sources in a maze.
Enrico Facca, F. Cardin, M. Putti
semanticscholar   +1 more source

Periodic traction in migrating large amoeba of Physarum polycephalum. [PDF]

J R Soc Interface, 2015
Rieu JP, Delanoë-Ayari H, Takagi S, Tanaka Y, Nakagaki T.   +4 more
europepmc   +2 more sources

Sociability as a personality trait in animals: methods, causes and consequences

Biological Reviews, Volume 97, Issue 2, Page 802-816, April 2022., 2022
ABSTRACT Within animal populations there is variation among individuals in their tendency to be social, where more sociable individuals associate more with other individuals. Consistent inter‐individual variation in ‘sociability’ is considered one of the major axes of personality variation in animals along with aggressiveness, activity, exploration and
Lizzy A. Gartland, Josh A. Firth, Kate L. Laskowski, Raphael Jeanson, Christos C. Ioannou   +4 more
wiley   +1 more source

Genetic structure of the protist Physarum albescens (Amoebozoa) revealed by multiple markers and genotyping by sequencing

Molecular Ecology, Volume 31, Issue 1, Page 372-390, January 2022., 2022
Abstract Myxomycetes are terrestrial protists with many presumably cosmopolitan species dispersing via airborne spores. A truly cosmopolitan species would suffer from outbreeding depression hampering local adaptation, while locally adapted species with limited distribution would be at a higher risk of extinction in changing environments.
Oleg Shchepin, Yuri Novozhilov, Jan Woyzichovski, Manuela Bog, Ilya Prikhodko, Nadezhda Fedorova, Vladimir Gmoshinskiy, Mathilde Borg Dahl, Nikki H. A. Dagamac, Yuka Yajima, Martin Schnittler   +10 more
wiley   +1 more source

Tumor Detection on Microarray Data Using Grey Wolf Optimization with Gain Information

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
Microarray data are becoming a more essential source of gene expression data for interpretation and analysis. To improve the detection accuracy of tumors, the researchers try to use the lowest feasible collection of the most gene expression studies, and relevant gene expression patterns are found.
K. Dhana Sree Devi, P. Karthikeyan, Usha Moorthy, K. Deeba, V. Maheshwari, Shaikh Muhammad Allayear, Shimin Wang   +6 more
wiley   +1 more source

On attraction of slime mould Physarum polycephalum to plants with sedative properties [PDF]

, 2011
A plasmodium of acellular slime mould Physarum polycephalum is a large single cell with many nuclei. Presented to a configuration of attracting and repelling stimuli a plasmodium optimizes its growth pattern and spans the attractants, while avoiding ...
Andrew Adamatzky
core   +2 more sources

An Improved New Caledonian Crow Learning Algorithm for Global Function Optimization

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
The New Caledonian crow learning algorithm (NCCLA) is a novel metaheuristic algorithm inspired by the learning behavior of New Caledonian crows learning to make tools to obtain food. However, it suffers from the problems of easily falling into local optima and insufficient convergence accuracy and convergence precision.
Yanjiao Wang, Jiaxu Song, Ziming Teng, Tongguang Ni   +3 more
wiley   +1 more source

On the role of the plasmodial cytoskeleton in facilitating intelligent behavior in slime mold Physarum polycephalum. [PDF]

Commun Integr Biol, 2015
The plasmodium of slime mold Physarum polycephalum behaves as an amorphous reaction-diffusion computing substrate and is capable of apparently ‘intelligent’ behavior. But how does intelligence emerge in an acellular organism?
Mayne R, Adamatzky A, Jones J.
europepmc   +3 more sources