Results 51 to 60 of about 174,883 (339)
Diphthamide synthesis is linked to the eEF2‐client chaperone machinery
The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr+4 more
wiley +1 more source
Tactics Exploration Framework based on Genetic Programming
Engagement-level simulation is a quantitative way to evaluate the effectiveness of weapon systems before construction and acquisition, minimizing the risk of investment. Though contractors have built simulation systems with high fidelity models of weapon
Jian Yao+4 more
doaj +1 more source
Characterization of fungal carbonyl sulfide hydrolase belonging to clade D β‐carbonic anhydrase
Here, we performed a functional analysis of the fungal enzymes belonging to clade D of the β‐class carbonic anhydrase family (β‐D‐CA). The β‐D‐CAs in the basidiomycete Gloeophyllum trabeum and the ascomycete Trichoderma harzianum showed very low activity in the hydration of CO2 but exhibited high activity in the hydrolysis of carbonyl sulfide (COS ...
Ryuka Iizuka+6 more
wiley +1 more source
In modular polyketide synthases, the dehydratase (DH) domain catalyzes the dehydration reaction of the β‐hydroxyacyl unit attached to the cognate acyl carrier protein (ACP) domain. However, it is unclear how DH interacts with ACP during the reaction. In this study, we identified DH–ACP interface residues, providing the first detailed insights into DH ...
Kaede Kotagiri+8 more
wiley +1 more source
Application of the evolutionary approach to structural and parametric identification of dynamic objects [PDF]
The paper examines the evolutionary approach to structural and parametric identification of dynamic systems in the form of differential equations. The approach is based on a genetic programming algorithm to determine a structure of the equation and ...
Karaseva Tatiana
doaj +1 more source
Bandit-Based Genetic Programming [PDF]
We consider the validation of randomly generated patterns in a Monte-Carlo Tree Search program. Our bandit-based genetic programming (BGP) algorithm, with proved mathematical properties, outperformed a highly optimized handcrafted module of a well-known computer-Go program with several world records in the game of Go.
Hoock, Jean-Baptiste, Teytaud, Olivier
openaire +5 more sources
Expressive Genetic Programming [PDF]
The language in which evolving programs are expressed can have significant impacts on the dynamics and problem-solving capabilities of a genetic programming system. In GP these impacts are driven by far more than the absolute computational power of the languages used; just because a computation is theoretically possible in a language, it doesn't mean ...
Nicholas Freitag McPhee, Lee Spector
openaire +2 more sources
Bounding bloat in genetic programming [PDF]
While many optimization problems work with a fixed number of decision variables and thus a fixed-length representation of possible solutions, genetic programming (GP) works on variable-length representations. A naturally occurring problem is that of bloat (unnecessary growth of solutions) slowing down optimization. Theoretical analyses could so far not
Johannes Lengler+3 more
openaire +3 more sources
Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions
This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten+10 more
wiley +1 more source
Estimation Models Generation using Linear Genetic Programming
The use of decision rules and estimation techniques is increasingly common for decision mak- ing. In recent years studies were conducted which applies Genetic Programming (GP) to obtain rules to make predictions.
Javier Martínez Canillas+2 more
doaj +1 more source