Results 21 to 30 of about 2,229,273 (315)

A Computational Model of the LGI1 Protein Suggests a Common Binding Site for ADAM Proteins [PDF]

, 2011
Mutations of human leucine-rich glioma inactivated (LGI1) gene encoding the epitempin protein cause autosomal dominant temporal lateral epilepsy (ADTLE), a rare familial partial epileptic syndrome.
Leonardi, Emanuela, Tosatto, Silvio C. E., Giorgia Busolin, Simonetta Andreazza, Busolin, Giorgia, Tosatto, Silvio C E, Emanuela Leonardi, Carlo Nobile, Silvio C E Tosatto, TOSATTO, SILVIO, Busolin Giorgia, Silvio C. E. Tosatto, Tosatto Silvio C. E., Vanin, Stefano, Vanin Stefano, NOBILE C, Langowski, Jörg, Stefano Vanin, Andreazza Simonetta, Andreazza, Simonetta, Nobile, Carlo, ANDREAZZA A, Leonardi Emanuela, Nobile Carlo   +23 more
core   +1 more source

Predicting protein phenotypes based on protein-protein interaction network. [PDF]

PLoS ONE, 2011
BackgroundIdentifying associated phenotypes of proteins is a challenge of the modern genetics since the multifactorial trait often results from contributions of many proteins.
Lele Hu, Tao Huang, Xiao-Jun Liu, Yu-Dong Cai   +3 more
doaj   +1 more source

Systematic discovery of linear binding motifs targeting an ancient protein interaction surface on MAP kinases

Molecular Systems Biology, 2015
Mitogen‐activated protein kinases (MAPK) are broadly used regulators of cellular signaling. However, how these enzymes can be involved in such a broad spectrum of physiological functions is not understood.
András Zeke, Tomas Bastys, Anita Alexa, Ágnes Garai, Bálint Mészáros, Klára Kirsch, Zsuzsanna Dosztányi, Olga V Kalinina, Attila Reményi   +8 more
doaj   +1 more source

Hsp90 interaction with clients [PDF]

, 2015
The conserved Hsp90 chaperone is an ATP-controlled machine that assists the folding and controls the stability of select proteins. Emerging data explain how Hsp90 achieves client specificity and its role in the cellular chaperone cascade.
Sub Cellular Protein Chemistry, Rüdiger, Stefan G D, Cellular Protein Chemistry, Karagoz, Elif   +3 more
core   +1 more source

Protein-Protein Interactions in Plants [PDF]

Plant and Cell Physiology, 2012
The study of protein-protein interactions (PPIs) is essential to uncover unknown functions of proteins at the molecular level and to gain insight into complex cellular networks. Affinity purification and mass spectrometry (AP-MS), yeast two-hybrid, imaging approaches and numerous diverse databases have been developed as strategies to analyze PPIs.
openaire   +2 more sources

Memory in repetitive protein–protein interaction series

APL Bioengineering, 2023
Interactions between proteins coordinate biological processes in an organism and may impact its responses to changing environments and diseases through feedback systems. Feedback systems function by using changes in the past to influence behaviors in the
Aaron M. Rosado, Yan Zhang, Hyun-Kyu Choi, Yunfeng Chen, Samuel M. Ehrlich, Fengzhi Jin, Arash Grakoui, Brian D. Evavold, Cheng Zhu   +8 more
doaj   +1 more source

Protein-protein interaction.

, 2022
STRING software depicts the protein-protein interaction network of XRCC2, XRCC3 and RAD51. The first ten proteins that primarily interacts with XRCC2, XRCC3 and RAD51 is highlighted.
Nageswara Rao Dunna (11985969), Taruna Rajagopal (11985957), Srikanth Talluri (442338), Krishna Kumar Rathnam (11985963), Sivaramakrishnan Venkatabalasubramanian (11985966), Arun Seshachalam (11985960)   +5 more
core   +1 more source

Hierarchical graph learning for protein–protein interaction

Nature Communications, 2023
Despite recent progress, machine learning methods remain inadequate in modeling the natural protein-protein interaction (PPI) hierarchy for PPI prediction.
Ziqi Gao, Chenran Jiang, Jiawen Zhang, Xiaosen Jiang, Lanqing Li, Peilin Zhao, Huanming Yang, Yong Huang, Jia Li   +8 more
doaj   +1 more source

A web-based protein interaction network visualizer [PDF]

, 2014
Background Interaction between proteins is one of the most important mechanisms in the execution of cellular functions. The study of these interactions has provided insight into the functioning of an organism’s processes.
Holifidy A Rapanoël, Mazandu, Gaston K, Ayton Meintjes, Gustavo A Salazar, Salazar, Gustavo A, Gaston K Mazandu, Rapanoël, Holifidy A, Akinola, Richard O, Meintjes, Ayton, Richard O Akinola, Mulder, Nicola J, Nicola J Mulder   +11 more
core   +1 more source

DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction

BMC Genomics, 2022
Background Protein-protein interaction (PPI) is very important for many biochemical processes. Therefore, accurate prediction of PPI can help us better understand the role of proteins in biochemical processes.
Wenqi Chen, Shuang Wang, Tao Song, Xue Li, Peifu Han, Changnan Gao   +5 more
doaj   +1 more source