Results 131 to 140 of about 1,551,832 (303)

Mapping Hsp104 interactions using cross‐linking mass spectrometry

FEBS Open Bio, EarlyView.
This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal, Karolina Michalska, Andrzej Joachimiak, Lukasz A. Joachimiak   +3 more
wiley   +1 more source

naufalfano/itsfess_topicmodelling_LDA: ItsFess LDA Topic Modelling Dataset

, 2023
Muhammad Rifqi Hidayat, Naufal Firjatulloh Fano, Ribka Devina Margaretha, Zada Alfarras Rasendriya, Nur Aini Rakhmawati   +4 more
openalex   +2 more sources

Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning [PDF]

arXiv
Data mining and knowledge discovery are essential aspects of extracting valuable insights from vast datasets. Neural topic models (NTMs) have emerged as a valuable unsupervised tool in this field. However, the predominant objective in NTMs, which aims to discover topics maximizing data likelihood, often lacks alignment with the central goals of data ...
arxiv  

Hydrophobicity causes anomalous migration of cystine/glutamate antiporter SLC7A11 in SDS‐PAGE with low acrylamide concentration

FEBS Open Bio, EarlyView.
SLC7A11 frequently migrates faster in SDS‐PAGE. The present study found that the high hydrophobicity of SLC7A11 causes its anomalous migration in SDS‐PAGE with a low concentration of acrylamide gel. Replacing isoleucine with asparagine reduced hydrophobicity and restored its normal migration at 55 kDa, revealing the role of hydrophobicity and gel ...
Nsengiyumva Emmanuel, Qian He, Yixin Kang, Dianbao Zhang, Min Gao, Minglin Wang, Kexin Fan, Jingwen Xiong, Shaobo Wu, Botao Fa, Zhengtao Xiao, Yingfang Niu, Jun Yao, Yilei Zhang   +13 more
wiley   +1 more source

A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling [PDF]

arXiv
Modeling topics effectively in short texts, such as tweets and news snippets, is crucial to capturing rapidly evolving social trends. Existing topic models often struggle to accurately capture the underlying semantic patterns of short texts, primarily due to the sparse nature of such data.
arxiv  

METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response

FEBS Open Bio, EarlyView.
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui, Silin Tu, Haibo Li, Zhancheng Zeng, Ruiqi Xiao, Jing Guo, Xiaoqi Liang, Chang Liu, Lijie Pan, Wenjie Chen, Mian Ge, Xiaofen Zhong, Linsen Ye, Huaxin Chen, Qi Zhang, Yan Xu   +15 more
wiley   +1 more source

Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models

, 2023
Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Hansi Zeng, Soundararajan Srinivasan   +6 more
openalex   +2 more sources

WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types [PDF]

, 2022
Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li, Rui Wang, Ming Yan, Lihan Chen, Yanghua Xiao   +7 more
openalex   +1 more source

Neural Topic Modeling with Large Language Models in the Loop [PDF]

arXiv
Topic modeling is a fundamental task in natural language processing, allowing the discovery of latent thematic structures in text corpora. While Large Language Models (LLMs) have demonstrated promising capabilities in topic discovery, their direct application to topic modeling suffers from issues such as incomplete topic coverage, misalignment of ...
arxiv  

Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater

FEBS Open Bio, EarlyView.
We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert   +5 more
wiley   +1 more source