Protein-RNA and protein-protein interactions mediate association of human EST1A/SMG6 with telomerase

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Telomeres are the nucleoprotein structures at the ends of linear chromosomes. Telomeres are transcribed into long non-coding Telomeric Repeat-Containing RNA (TERRA), whose functions rely on its ability to associate with telomeric chromatin. The conserved T ...

Proteins, the central building blocks of life, play pivotal roles in nearly every biological function. To do so, these macromolecular structures interact with their surrounding environment in complex ways, leading to diverse functional behaviors. The predi ...

The present invention provides a method for preparing a sequencing library from a ribonucleic acid (RNA) sample. ...

Computational models starting from large ensembles of evolutionarily related protein sequences capture a representation of protein families and learn constraints associated to protein structure and function. They thus open the possibility for generating no ...

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

We present an in-depth analysis of selected CASP15 targets, focusing on their biological and functional significance. The authors of the structures identify and discuss key protein features and evaluate how effectively these aspects were captured in the su ...

The present invention relates to a computer-implemented method for engineering the interaction between a protein and a cognate peptide that are capable of forming a molecular complex, wherein the method comprises (a) preparing in silico a library of test p ...

Proteins control nearly every facet of life on a molecular level. Proteins are formed from linear strings of amino acids, which fold into three-dimensional structures that can enact functions. Evolution has created highly efficient proteins in diverse fold ...

Observing proteins as they perform their tasks has largely remained elusive, which has left our understanding of protein function fundamentally incom- plete. To enable such observations, we have recently proposed a technique that improves the time resoluti ...

TAR DNA-binding protein with 43 kD (TDP-43) is a partially disordered protein that misfolds and accumulates in the brains of patients affected by several neurodegenerative diseases. TDP-43 oligomers have been reported to form due to aberrant misfolding or ...

Scaffold-based protein libraries are designed to be both diverse and rich in functional/folded proteins. However, introducing an extended diversity while preserving stability of the initial scaffold remains a challenge. Here we developed an original approa ...

De novo protein design enhances our understanding of the principles that govern protein folding and interactions, and has the potential to revolutionize biotechnology through the engineering of novel protein functionalities. Despite recent progress in comp ...

Protein-RNA and protein-protein interactions mediate association of human EST1A/SMG6 with telomerase

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The THO complex counteracts TERRA R-loop-mediated telomere fragility in telomerase(+) cells and telomeric recombination in ALT(+) cells

A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

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Generative power of a protein language model trained on multiple sequence alignments

A new age in protein design empowered by deep learning

Protein target highlights in CASP15: Analysis of models by structure providers

Computer-implemented design of peptide:receptor signaling complexes for enhanced chemotaxis

De novo designed proteins: a study in engineering novel folds and functions

Fast viral dynamics revealed by microsecond time-resolved cryo-EM

Recombinant Full-Length TDP-43 Oligomers Retain Their Ability to Bind RNAs, Are Not Toxic, and Do Not Seed TDP-43 Aggregation in Vitro

Design of an artificial phage-display library based on a new scaffold improved for average stability of the randomized proteins

De novo protein design by inversion of the AlphaFold structure prediction network