Results 231 to 240 of about 448,472 (368)

Structural and dynamics analysis of intrinsically disordered proteins by high-speed atomic force microscopy

Nature Nanotechnology, 2020
N. Kodera, D. Noshiro, S. K. Dora, Tetsuya Mori, J. Habchi, D. Blocquel, Antoine Gruet, Marion Dosnon, Edoardo Salladini, C. Bignon, Y. Fujioka, T. Oda, N. Noda, Mamoru Sato, M. Lotti, M. Mizuguchi, S. Longhi, T. Ando   +17 more
semanticscholar   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Scale-free Spatio-temporal Correlations in Conformational Fluctuations of Intrinsically Disordered Proteins. [PDF]

Adv Sci (Weinh)
Song H, Cui J, Hu G, Xiong L, Wutthinitikornkit Y, Lei H, Li J.   +6 more
europepmc   +1 more source

Chaotic aging: intrinsically disordered proteins in aging-related processes. [PDF]

Cell Mol Life Sci, 2023
Manyilov VD, Ilyinsky NS, Nesterov SV, Saqr BMGA, Dayhoff GW, Zinovev EV, Matrenok SS, Fonin AV, Kuznetsova IM, Turoverov KK, Ivanovich V, Uversky VN.   +11 more
europepmc   +1 more source

Quantitative Determination of the Conformational Properties of Partially Folded and Intrinsically Disordered Proteins Using NMR Dipolar Couplings

, 2009
Malene Ringkjøbing Jensen, Phineus R. L. Markwick, Sebastián Meier, Christian Griesinger, Markus Zweckstetter, Stephan Grzesiek, Pau Bernadó, Martin Blackledge   +7 more
openalex   +1 more source

IDEAL: Intrinsically Disordered proteins with Extensive Annotations and Literature [PDF]

, 2011
Satoshi Fukuchi, Shuichi Sakamoto, Yuko Nobe, Seiko D. Murakami, Tôzô Amemiya, Kazuo Hosoda, Ryotaro Koike, Hidekazu Hiroaki, Motonori Ota   +8 more
openalex   +1 more source

Genetics‐Based Targeting Strategies for Precise Neuromodulation

Advanced Science, EarlyView.
In this Review, the fundamental principles and implementation protocols of genetics‐based precision neuromodulation are first introduced. Then, wireless and low‐invasive strategies based on nano‐transducing materials are highlighted, along with a dissection and analysis of the strengths and weaknesses of representative studies.
Yuyuan He, Zhidong Wei, Jianda Xu, Fei Jin, Tong Li, Lili Qian, Juan Ma, Weiying Zheng, Negar Javanmardi, Ting Wang, Kangjian Sun, Zhang‐Qi Feng   +11 more
wiley   +1 more source

Assessment and Mitigation of CRISPR‐Cas9‐Induced Nontargeted Translocations

Advanced Science, EarlyView.
Various inverted repeat elements are dispersed throughout genomes. This study reveals that these elements can cause significant chromosomal rearrangements when CRISPR editing occurs in their proximity. The risk can be mitigated by incorporating inverted repeat‐homologous segments into the CRISPR system, which represents a promising strategy for ...
Zhiyang Hou, Qiyi Yi, Mengying Wu, Lijun Wu, Fanghua Li, Ting Wang, Po Bian   +6 more
wiley   +1 more source

Orchestrating vesicular and nonvesicular membrane dynamics by intrinsically disordered proteins. [PDF]

EMBO Rep, 2023
Sigrist SJ, Haucke V.
europepmc   +1 more source

MRAS: Master Regulator Analysis of Alternative Splicing

Advanced Science, EarlyView.
This study developed a computational approach called MRAS, designed to identify master regulators of splicing differences across various biological contexts. In this framework, altered RBP expression, rather than spliceosomal mutations or other modifications, plays a central role in driving these splicing differences.
Lei Zhou, Yue Huang, Yang Zhao, Dan Guo, Xiao Wen, Ruihong Xu, Xuan Lv, Song Wu, Sicheng Jing, Zhaoqi Liu   +9 more
wiley   +1 more source