Concept

Protein fold class

Related publications (255)

Scaffolding protein functional sites using deep learning

Bruno Emanuel Ferreira De Sousa Correia, Karla Montserrat Castro Gilabert, Basile Isidore Martin Wicky, Jue Wang

The binding and catalytic functions of proteins are generally mediated by a small number of functional residues held in place by the overall protein structure. Here, we describe deep learning approaches for scaffolding such functional sites without needing ...

AMER ASSOC ADVANCEMENT SCIENCE2022

Azide-Containing Hypervalent Iodine Reagents for Biomolecules Functionalization

Raphaël Michel Henri Simonet-Davin

The goal of my PhD was the development of a new method for unselective surface labeling, not substrate-specific, that would give access to direct visualization of any surface interactions.In order to achieve this challenging goal, we wanted to develop a ge ...

EPFL2022

Computationally designed GPCR quaternary structures bias signaling pathway activation

Patrick Daniel Barth, Robert Everett Jefferson

Communication across membranes controls critical cellular processes and is achieved by receptors translating extracellular signals into selective cytoplasmic responses. While receptor tertiary structures can be readily characterized, receptor associations ...

2022

Similarities and Differences among Protein Dynamics Studied by Variable Temperature Nuclear Magnetic Resonance Relaxation

David Lyndon Emsley, Jayasubba Reddy Yarava, Andrea Bertarello, Baptiste Busi, François Freymond

Understanding and describing the dynamics of proteins is one of the major challenges in biology. Here, we use multifield variable-temperature NMR longitudinal relaxation (R-1) measurements to determine the hierarchical activation energies of motions of fou ...

AMER CHEMICAL SOC2021

Assessment of transferable forcefields for protein simulations attests improved description of disordered states and secondary structure propensities, and hints at multi-protein systems as the next challenge for optimization

Matteo Dal Peraro, Luciano Andres Abriata

Continuous assessment of transferable forcefields for molecular simulations is essential to identify their weaknesses and direct improvement efforts. The latest efforts focused on better describing disordered proteins while retaining proper description of ...

2021

SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactions

Jaume Bonet Martinez

BackgroundStatistical potentials, also named knowledge-based potentials, are scoring functions derived from empirical data that can be used to evaluate the quality of protein folds and protein-protein interaction (PPI) structures. In previous works we deco ...

BMC2021

On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction

Jaume Bonet Martinez

Direct-coupling analysis (DCA) for studying the coevolution of residues in proteins has been widely used to predict the three-dimensional structure of a protein from its sequence. We present RADI/raDIMod, a variation of the original DCA algorithm that grou ...

OXFORD UNIV PRESS2021

Towards an artificial cell: Development of a system which self-regenerates the protein components of the PURE system in microfluidic reactors

Barbora Lavickova

Thanks to recent advancements in synthetic biology, the dream of creating a synthetic cell has become feasible. However, due to its inherent complexity, one of the fundamental functions of all living systems, i.e., self-replication, remains to be introduce ...

EPFL2021

Control and Characterization of the Compactness of Single-Chain Nanoparticles

Francesco Stellacci, Luciano Andres Abriata, Lixia Wei, Suiyang Liao

Polymers when self-cross-linked into single-chain nanoparticles bear some resemblance to folded proteins; yet proteins have clear energy landscapes that determine precisely folded structures, while single-chain polymer nanoparticles (SCNPs) have more undef ...

AMER CHEMICAL SOC2021

Reviewing Challenges of Predicting Protein Melting Temperature Change Upon Mutation Through the Full Analysis of a Highly Detailed Dataset with High-Resolution Structures

Luciano Andres Abriata

Predicting the effects of mutations on protein stability is a key problem in fundamental and applied biology, still unsolved even for the relatively simple case of small, soluble, globular, monomeric, two-state-folder proteins. Many articles discuss the li ...

2021

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