Results 61 to 70 of about 229,971 (268)

PARROT: Prediction of enzyme abundances using protein-constrained metabolic models.

PLoS Computational Biology, 2023
Protein allocation determines the activity of cellular pathways and affects growth across all organisms. Therefore, different experimental and machine learning approaches have been developed to quantify and predict protein abundance and how they are ...
Mauricio Alexander de Moura Ferreira, Wendel Batista da Silveira, Zoran Nikoloski   +2 more
doaj   +1 more source

Constrained Eigenvalue Minimization of Incomplete Pairwise Comparison Matrices by Nelder-Mead Algorithm

Algorithms, 2021
Pairwise comparison matrices play a prominent role in multiple-criteria decision-making, particularly in the analytic hierarchy process (AHP). Another form of preference modeling, called an incomplete pairwise comparison matrix, is considered when one or
Hailemariam Abebe Tekile, Michele Fedrizzi, Matteo Brunelli   +2 more
doaj   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2005
In this paper, we have investigated self-scaling sequential unconstrained minimization techniques  (SUMT). Our new modified version on CG-method and QN- method shows that it is too effective when compared with other established  algorithms to solve ...
Ghada Al-Naemi
doaj   +1 more source

Hyperspectral target detection based on transform domain adaptive constrained energy minimization

International Journal of Applied Earth Observations and Geoinformation, 2021
Traditional hyperspectral target detection methods use spectral domain information for target recognition. Although it can effectively retain intrinsic characteristics of substances, targets in homogeneous regions still cannot be effectively recognized ...
Xiaobin Zhao, Zengfu Hou, Xin Wu, Wei Li, Pengge Ma, Ran Tao   +5 more
doaj   +1 more source

Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions [PDF]

, 2013
We investigate three related and important problems connected to machine learning: approximating a submodular function everywhere, learning a submodular function (in a PAC-like setting [53]), and constrained minimization of submodular functions.
Bilmes, Jeff, Iyer, Rishabh, Jegelka, Stefanie   +2 more
core   +1 more source

Efficient Constrained Regret Minimization

, 2012
Online learning constitutes a mathematical and compelling framework to analyze sequential decision making problems in adversarial environments. The learner repeatedly chooses an action, the environment responds with an outcome, and then the learner receives a reward for the played action. The goal of the learner is to maximize his total reward. However,
Mahdavi, Mehrdad, Yang, Tianbao, Jin, Rong   +2 more
openaire   +2 more sources

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 more
wiley   +1 more source

An Augmented Penalization Algorithm for the Equality Constrained Minimization Problem

Trends in Computational and Applied Mathematics, 2002
In this contribution an iterative method for solving the nonlinear minimization problem with equality constraints is presented. The method is based on the sequential minimization of the differentiable penalization function known as augmented Lagrangian ...
M.C. MACIEL, G.N. SOTTOSANTO
doaj   +1 more source