Results 101 to 110 of about 5,123 (214)
Many-to-one binding by intrinsically disordered protein regions
Disordered binding regions (DBRs), which are embedded within intrinsically disordered proteins or regions (IDPs or IDRs), enable IDPs or IDRs to mediate multiple protein-protein interactions.
Andrzej Kloczkowski +19 more
core +1 more source
Abstract Molecular simulation techniques have become an invaluable tool for elucidating the fundamental principles of life at the molecular level. After nearly five decades of development, biomolecular simulations have evolved to enable the quantitative characterization of complex biomolecular events, such as protein folding, conformational dynamics ...
Wenfei Li, Wei Wang
wiley +1 more source
Electrostatics in intrinsically disordered proteins
Protein-protein interactions are fundamental to many biological processes. A large proportion of proteins have been identified as partially or entirely disordered in their native state.
Wong, Eric Tsz Chung
core
Effects of macromolecular crowding on an intrinsically disordered protein
Proteins are composed of amino acids, and usually have one native structure. Intrinsically disordered proteins lack a native structure and can populate many different forms, making them ideal for binding.
Hadfield, Andrew
core
The traditional model of protein structure determined by the amino acid sequence is today seriously challenged by the fact that approximately half of the human proteome is made up of proteins that do not have a stable 3D structure, either partially or in totality. These proteins, called intrinsically disordered proteins (IDPs), are involved in numerous
Jacques, Fantini +5 more
+6 more sources
Protein design and RNA design: Perspectives
Abstract Advances in deep learning and generative modeling have transformed the landscape of protein and RNA design, enabling rapid and precise creation of novel biomolecules with tailored structures and functions. In protein design, generative deep learning frameworks now support backbone generation, sequence optimization, and joint sequence–structure
Xi Chen, Xu Dai, Peilong Lu
wiley +1 more source
Opportunities and challenges in protein structure prediction
Abstract Deep learning methods, particularly exemplified by AlphaFold2, have revolutionized the field of protein structure prediction—an achievement recognized by the 2024 Nobel Prize in Chemistry awarded to its core developers. Despite this remarkable achievement, the broader protein folding problem is far from solved. Key challenges—each representing
Wenkai Wang +3 more
wiley +1 more source
The deformability of red blood cell is essential for smooth microcirculation. We propose a deformability index using a microfluidic platform with capillary‐like constrictions, based on the relationship between cell deformation and transit velocity through the constrictions. Its effectiveness and clinical potential have been demonstrated in applications
Kenji Kajitani +9 more
wiley +1 more source
SS‐31 (Elamipretide) inhibits α‐synuclein aggregation on the membranes and emerges as a promising therapeutic candidate against mitochondrial dysfunction in Parkinson's disease. ABSTRACT Membrane binding and aggregation properties of α‐synuclein are closely associated with Parkinson's disease and a class of related syndromes named as synucleinopathy ...
Ewelina Stefaniak +5 more
wiley +1 more source
Prothymosin-a (ProTa) is a small, highly acidic protein found in the nuclei of virtually all mammalian tissues. It belongs to a class of proteins known for their lack of a rigid three-dimensional structure called intrinsically disordered proteins (IDPs).
Biscardi, Brianna +1 more
core

