Results 51 to 60 of about 1,508,110 (292)

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER

IEEE Access, 2020
Existing facial emotion recognition methods do not have high accuracy and are not sufficient practical in real-time applications. We introduce type 2 fuzzy rough sets to develop a Type 2 Fuzzy Rough Convolutional Neural Network, as type 2 fuzzy rough ...
Xiangjian Chen, Di Li, Pingxin Wang, Xibei Yang   +3 more
doaj   +1 more source

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, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Rough Groups over Rough Sets

, 2023
In this paper, the author focuses on the algebraic structure of the rough groups, especially those based on the rough sets. The author proposes a new definition of the rough group, based on Pawlak’s rough sets.
Ramazan YAŞAR, YAŞAR, Ramazan
core   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Port throughput influence factors based on neighborhood rough sets: An exploratory study

Journal of Industrial Engineering and Management, 2015
Purpose: The purpose of this paper is to devise a efficient method for the importance analysis on Port Throughput Influence Factors. Design/methodology/approach: Neighborhood rough sets is applied to solve the problem of selection factors.
Weiping Cui, Lei Huang, Ying Wang
doaj   +1 more source

Fuzzy Equivalence on Standard and Rough Neutrosophic Sets and Applications to Clustering Analysis [PDF]

, 2018
In this paper, we propose the concept of fuzzy equivalence on standard neutrosophic sets and rough standard neutrosophic sets. We also provide some formulas for fuzzy equivalence on standard neutrosophic sets and rough standard neutrosophic sets. We also
Luong Hong Lan, Thao, Nguyen Xuan, Nguyen Xuan Thao, Bui Cong Cuong, Ali, Mumtaz, Le Hoang Son, Son, Le Hoang, Mumtaz Ali, Lan, Luong Hong, Cuong, Bui Cong, Son L.H., Thao N.X., Ali M., Cuong B.C., Lan L.H.   +14 more
core   +1 more source

Theoretical Analysis of Different Classifiers under Reduction Rough Data Set: A Brief Proposal

, 2023
Rough set plays vital role to overcome the complexities, vagueness, uncertainty, imprecision, and incomplete data during features analysis. Classification is tested on certain dataset that maintain an exact class and review process where key attributes ...
Kamal, S, Dey, N, Hossain, S, Ripon, SH
core   +1 more source

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source