Results 71 to 80 of about 8,140,957 (328)
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Combinatorial optimization of permutation-based quadratic assignment problem using optics inspired optimization [PDF]
Journal of Applied Research on Industrial Engineering, 2019 A lot of real-world problems such as the assignment of special rooms in hospitals, operating room layout, image processing, etc., could be formulated in terms of Quadratic assignment problem. Different exact methods are suggested to solve these problems,
Soheila Badrloo, Ali Husseinzadeh Kashan
doaj +1 more source
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
On metaheuristic algorithms for combinatorial optimization problems [PDF]
Systems and Computers in Japan, 2001 Metaheuristic algorithms are widely recognized as one of the most practical approaches for combinatorial optimization problems. Among representative metaheuristics are genetic algorithms, simulated annealing, tabu search, and so on. In this paper, we explain essential ideas used in such metaheuristic algorithms within a generalized framework of local ...
Mutsunori Yagiura, Toshihide Ibaraki
openaire +2 more sources
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
A Hybrid Particle Swarm Optimization with Genetic Operator for Vehicle Routing Problem
Journal of Advances in Information Technology, 2010 The Vehicle Routing Problem (VRP) is a NP-hard and Combinatorial optimization problem. Combinatorial optimization problem can be viewed as searching for best element in a set of discrete items, which can be solved using search algorithm or meta heuristic.
Geetha Shanmugam +2 more
doaj +1 more source
Trip Planning Based on subQUBO Annealing
IEEE Access, 2023 The trip planning problem (TPP) can be formulated as a combinatorial optimization problem that searches for the best route to visit a series of landmarks and hotels.
Tatsuya Noguchi +3 more
doaj +1 more source
Exploratory Combinatorial Optimization with Reinforcement Learning [PDF]
AAAI Conference on Artificial Intelligence, 2019 Many real-world problems can be reduced to combinatorial optimization on a graph, where the subset or ordering of vertices that maximize some objective function must be found.
T. Barrett +3 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source