Results 91 to 100 of about 7,803,058 (302)

Linkage map of protein–protein interactions of Porcine teschovirus

Journal of General Virology, 2005
A yeast two-hybrid study was conducted to catalogue the protein–protein interactions of the Porcine teschovirus non-structural proteins. Five homodimer, three reciprocal heterodimer and four unidirectional heterodimer interactions were observed. While several interactions are similar to those described in previous studies using enteroviruses, such as ...
Roland, Zell, Simone, Seitz, Andreas, Henke, Thomas, Munder, Peter, Wutzler   +4 more
openaire   +2 more sources

Mapping Dysfunctional Protein-Protein Interactions in Disease

Journal of Visualized Experiments
Protein-protein interaction (PPI) networks are dynamically remodeled in disease, yet most systems biology approaches focus on changes in protein abundance, overlooking critical interaction-level dysfunction. Here, we present a robust, chemoproteomic method-dysfunctional Protein-Protein Interactome (dfPPI)-that enables high-throughput, systematic ...
Rodina, Anna, Erdjument-Bromage, Hediye, Monetti, Mara, Li, Zhuoning, Chakrabarty, Souparna, Wang, Shujuan, Digwal, Chander S., Tuffery, Laura, Panchal, Palak, Sharma, Sahil, Roychowdhury, Tanaya, Neubert, Thomas A., Chiosis, Gabriela   +12 more
openaire   +2 more sources

Serbia city graphic 1:15,000 : Kragujevac / prepared ... by Defense Mapping Agency

, 1995
Ed. 3-DMA.Relief shown by contours and spot heights. "Map information as of 1993." "WGS 84." "Grid--1,000 meter UTM zone 34." "Printed by DMA 7-95." "This sheet falls within NK 34-02 and NL 34-11, 1501A 1:250,000 and 3183 II and 3182 I, M709, 1:50,000 ...
United States. Defense Mapping Agency
core  

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Homologous mapping yielded a comprehensive predicted protein–protein interaction network for peanut (Arachis hypogaea L.)

BMC Plant Biology
Background Protein–protein interactions are the primary means through which proteins carry out their functions. These interactions thus have crucial roles in life activities.
Fangping Gong, Di Cao, Xiaojian Sun, Zhuo Li, Chengxin Qu, Yi Fan, Zenghui Cao, Kai Zhao, Kunkun Zhao, Ding Qiu, Zhongfeng Li, Rui Ren, Xingli Ma, Xingguo Zhang, Dongmei Yin   +14 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Two Rules on the Protein-Ligand Interaction [PDF]

, 2008
So far, we still lack a clear molecular mechanism to explain the protein-ligand interaction on the basis of electronic structure of a protein. By combining the calculation of the full electronic structure of a protein along with its hydrophobic pocket ...
Lily Zhang, Xinyi Zhang, Xiaodong Pang, Linxiang Zhou, Lina Xu   +4 more
core  

Domain-based prediction of the human isoform interactome provides insights into the functional impact of alternative splicing.

PLoS Computational Biology, 2017
Alternative splicing is known to remodel protein-protein interaction networks ("interactomes"), yet large-scale determination of isoform-specific interactions remains challenging.
Mohamed Ali Ghadie, Luke Lambourne, Marc Vidal, Yu Xia   +3 more
doaj   +1 more source

Decoding the dynamic extracellular matrix in cancer—3D models and bioscaffolds rewire the rules of tumor progression

FEBS Letters, EarlyView.
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani, Konstantinos Spanopoulos, Zoi Piperigkou, Nikos K. Karamanos   +3 more
wiley   +1 more source

An automated method for finding molecular complexes in large protein interaction networks

BMC Bioinformatics, 2003
Background Recent advances in proteomics technologies such as two-hybrid, phage display and mass spectrometry have enabled us to create a detailed map of biomolecular interaction networks.
Bader Gary D, Hogue Christopher WV
doaj   +1 more source