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Novel gamma-secretase inhibitors uncover a common nucleotide-binding site in JAK3, SIRT2, and PS1

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New methods for structure determination and speciation by NMR crystallography

Martins Balodis

NMR crystallography has been around for half a century, but with the advent of NMR crystal structure determination protocols in the last decade it has shown perspectives that were not seen before. Amalgamation of NMR and crystal structure determination has ...

EPFL2022

De Novo Crystal Structure Determination from Machine Learned Chemical Shifts

David Lyndon Emsley, Albert Hofstetter, Manuel Cordova, Martins Balodis

Determination of the three-dimensional atomic-level structure of powdered solids is one of the key goals in current chemistry. Solid-state NMR chemical shifts can be used to solve this problem, but they are limited by the high computational cost associated ...

2022

Scaffolding protein functional sites using deep learning

Bruno Emanuel Ferreira De Sousa Correia, Wayne Yang Wen Wei, 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 ...

American Association for the Advancement of Science2022

Synthesis and investigation of the thermal proper- ties of [Co(N H-3)(6)] [Co(C2O4)(3)]center dot 3H(2)O and [Ir(NH3)(6)][Ir(C2O4)(3)]

Ilia Kochetygov

The complexes [Co (NH3)(6)][Ir (C2O4)(3)] and [Ir(NH3)(6)][Co (C2O4)(3)center dot H2O have previously been synthesized and their thermal properties studied. The [Ir(NH3)(6)][Ir(C2O4)(3)] and [Co(NH3)(6)][Co(C2O4)(3)]center dot 3H(2)O complexes considered h ...

INT UNION CRYSTALLOGRAPHY2022

A generic framework for hierarchical de novo protein design

Bruno Emanuel Ferreira De Sousa Correia, Jaume Bonet Martinez, Fabian Sesterhenn, Zander Harteveld, Stéphane Rosset, Che Yang

De novo protein design enables the exploration of novel sequences and structures absent from the natural protein universe. De novo design also stands as a stringent test for our understanding of the underlying physical principles of protein folding and may ...

National Academy of Sciences2022

Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Zander Harteveld

The sheer size of the protein sequence space is massive: a protein of 100 residues can have 20^100 possible sequence combinations; and knowing that this exceeds the number of atoms in the universe, the chance of randomly discovering a stable new sequence w ...

EPFL2022

Deep learning approaches for conformational flexibility and switching properties in protein design

Patrick Daniel Barth, Lucas Sebastian Powell-Rudden, Mahdi Hijazi

Following the hugely successful application of deep learning methods to protein structure prediction, an increasing number of design methods seek to leverage generative models to design proteins with improved functionality over native proteins or novel str ...

2022

Electrochemically CO2 conversion using homogeneous and nanostructured heterogeneous Ru (II) electrocatalysts

Farzaneh Fadaei Tirani

The reduction of carbon dioxide to desirable products is an urgent goal in favour of the environment, the energy-cycle and mankind. We report the electrochemical reduction of CO2 to carbon monoxide by means of the ho-mogeneous electrocatalyst (1), [Ru(bpy) ...

ELSEVIER SCI LTD2022

An elementary treatment on the diffraction of crystalline structures

Gervais Chapuis

Although W. L. Bragg's law can be easily derived for beginners in the field of crystallography, its interpretation however seems to cause some difficulties which lies essentially in the relation between the concept of lattice planes and the unit cell const ...

2022

Quantifying the Solution Structure of Metal Nanoclusters Using Small-Angle Neutron Scattering

Francesco Stellacci, Stefan Guldin, Zhi Luo, Ye Yang, Huayan Yang

Metal nanoclusters are a unique class of synthetic material, as their crystal structures can be resolved using X-ray diffraction, and their chemical formula can be precisely determinated from mass spectroscopy. However, a complete structure characterizatio ...

Wiley-VCH Verlag GmbH2022

Page 3 of 3

Scaffolding protein functional sites using deep learning

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

American Association for the Advancement of Science2022

Synthesis and investigation of the thermal proper- ties of [Co(N H-3)(6)] [Co(C2O4)(3)]center dot 3H(2)O and [Ir(NH3)(6)][Ir(C2O4)(3)]

Ilia Kochetygov

INT UNION CRYSTALLOGRAPHY2022

Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Zander Harteveld

EPFL2022

Quantifying the Solution Structure of Metal Nanoclusters Using Small-Angle Neutron Scattering

Francesco Stellacci, Stefan Guldin, Zhi Luo, Ye Yang, Huayan Yang

Wiley-VCH Verlag GmbH2022