function when conditions are restored[1]. This experiment established the basic notion that protein structure is encoded in theamino acid sequenceand that the loss of structure leads to the loss of function, the so-called structure–function paradigm. Many proteins are able to adopt their...
Huang YJ, Montelione GT. Structural biology: proteins flex to function. Nature 2005;438:36-37.Huang YJ, Montellione GT. Structural biology: Proteins flex to function. Nature. 2005; 438 (7064):36–37. doi: 10.1038/438036a. [ Cross Ref ]...
The SCOP database clusters different proteins that performs a similarbiological functionand are evolutionarily related to a common structural organization. This common structural organization could be the full protein or only in the active center region. Therefore one can predict the ...
Here, we present a more detailed analysis of the structure, function, and evolution of the Gdrd protein, which allowed us to describe its molecular and structural properties, its cellular function, and thus its potential, physiological implications. We also further elaborate on its evolutionary ...
Arabidopsis WRKY2 and WRKY34 transcription factors interact with VQ20 protein to modulate pollen development and function Plant male gametogenesis is tightly regulated, and involves complex and precise regulations of transcriptional reprogramming. WRKY transcription factors ha... R Lei,X Li,Z Ma,... ...
to interact with the light chain of microtubule-associated protein MAP1B24, but it is unclear whether the FW domain is important for the autophagy function of human NBR1. ILRUN was shown to interact with the transcription factor interferon regulatory factor 3 (IRF3) but it is unknown whether...
variants and mutations might be associated with affecting the conformational plasticity of S protein, potentially linked to its altered affinity, infectivity, and immunogenicity. This review focuses on the current circulating variants of SARS-CoV-2 and the structure–function analysis of key S protein ...
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In this Viewpoint, we begin by describing the essential features of the methods, the accuracy of the models, and their application to the prediction and understanding of protein function, both for single proteins and on the scale of whole genomes. We then discuss the important role that ...
Exploiting sequence–structure–function relationships in biotechnology requires improved methods for aligning proteins that have low sequence similarity to previously annotated proteins. We develop two deep learning methods to address this gap, TM-Vec a