Results 121 to 130 of about 418,398 (323)
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi +6 more
wiley +1 more source
AttSec: protein secondary structure prediction by capturing local patterns from attention map. [PDF]
Kim Y, Kwon J.
europepmc +1 more source
ZFAS1 is a lncRNA promoting cell proliferation and migration, exhibiting high expression in various cancers. It is conserved, widely expressed, and produces multiple splice variants with unclear roles. We identified several splice variants in hepatocyte models, and found that inhibiting or suppressing regulators of the unfolded protein response (PERK ...
Sébastien Soubeyrand +2 more
wiley +1 more source
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algorithms: Single-sequence prediction algorithms imply that information about ...
Borodovsky Mark +2 more
doaj +1 more source
Prediction of protein secondary structure based on deep residual convolutional neural network [PDF]
Jinyong Cheng, Ying Xu, Yunxiang Zhao
openalex +1 more source
Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde +3 more
wiley +1 more source
Secondary structure prediction is a key step in understanding protein function and biological properties and is highly important in the fields of new drug development, disease treatment, bioengineering, etc.
Lufei Zhao +4 more
doaj +1 more source
DLBLS_SS: protein secondary structure prediction using deep learning and broad learning system. [PDF]
Yuan L, Hu X, Ma Y, Liu Y.
europepmc +1 more source
Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth +6 more
wiley +1 more source
Background When characterizing the structural topology of proteins, protein secondary structure (PSS) plays an important role in analyzing and modeling protein structures because it represents the local conformation of amino acids into regular structures.
Sung Ting-Yi +3 more
doaj +1 more source

