Results 81 to 90 of about 3,031,483 (337)

Efficient Computation of Fitness Function for Evolutionary Clustering

Mendel, 2019
Evolutionary algorithms (EAs) are random search heuristics which can solve various optimization problems. There are plenty of papers describing different approaches developed to apply evolutionary algorithms to the clustering problem, although none of ...
Sergey Muravyov, Denis Antipov, Arina Buzdalova, Andrey Filchenkov   +3 more
doaj   +1 more source

Mycobacterium tuberculosis sulfurtransferase SseA is activated by its neighboring gene product Rv3284

FEBS Letters, EarlyView.
Tuberculosis remains a global health challenge and new therapeutic targets are required. Here, we characterized SseA, a sulfurtransferase from Mycobacterium tuberculosis involved in macrophage infection, and its interaction with the newly identified protein SufEMtb that activates SseA enzymatic activity.
Giulia Di Napoli, Alex Fissore, Edoardo Salladini, Eleonora Raccuia, Simonetta Oliaro‐Bosso, Alessia Ruggiero, Rita Berisio, Milagros Medina, Adrian Velazquez‐Campoy, Salvatore Adinolfi, Mauro Marengo   +10 more
wiley   +1 more source

The Evolution of Evolutionary Computation [PDF]

, 2003
Evolutionary computation has enjoyed a tremendous growth for at least a decade in both its theoretical foundations and industrial applications. Its scope has gone far beyond binary string optimisation using a simple genetic algorithm. Many research topics in evolutionary computation nowadays are not necessarily ”genetic” or ”evolutionary” in any ...
openaire   +3 more sources

Functional role and folding properties of the glucan‐binding domain of oral bacterial glucansucrase

FEBS Letters, EarlyView.
The role of the glucan‐binding domain in Streptococcus sobrinus glucansucrase was examined, focusing on its impact on enzymatic activity, dextran binding, and structural stability of deletion mutants and a circularly permuted protein. Our research revealed that glucosyl transfer efficiency is linked to cooperative interdomain folding.
Hideyuki Komatsu, Takayuki Sadakane, Yudai Murata, Junichi Taira, Hiroshi Sakamoto, Takao Kodama   +5 more
wiley   +1 more source

On the complexity of computing evolutionary trees [PDF]

, 1997
In this paper we study a few important tree optimization problems with applications to computational biology. These problems ask for trees that are consistent with an as large part, of the given data as possible. We show that the maximum homeomorphic agreement subtree problem cannot be approximated within a factor of Ne, where N is the input size, for ...
Gasieniec, L., Jansson, J., Lingas, A., Östlin, A.   +3 more
openaire   +3 more sources

Microbial exopolysaccharide production by polyextremophiles in the adaptation to multiple extremes

FEBS Letters, EarlyView.
Polyextremophiles are microorganisms that endure multiple extreme conditions by various adaptation strategies that also include the production of exopolysaccharides (EPSs). This review provides an integrated perspective on EPS biosynthesis, function, and regulation in these organisms, emphasizing their critical role in survival and highlighting their ...
Tracey M Gloster, Ebru Toksoy Öner
wiley   +1 more source

Ecological theory provides insights about evolutionary computation

Annual Conference on Genetic and Evolutionary Computation, 2018
Promoting diversity in an evolving population is important for Evolutionary Computation (EC) because it reduces premature convergence on suboptimal fitness peaks while still encouraging both exploration and exploitation [3].
Emily L. Dolson, Charles Ofria
semanticscholar   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Interactive Evolutionary Computation for Analyzing Human Awareness Mechanisms

Applied Computational Intelligence and Soft Computing, 2012
We discuss the importance of establishing awareness science and show the idea of using interactive evolutionary computation (IEC) as a tool for analyzing awareness mechanism and making awareness models.
Hideyuki Takagi
doaj   +1 more source