The CCP4 suite: integrative software for macromolecular crystallography

J Agirre, M Atanasova, H Bagdonas… - Biological …, 2023 - journals.iucr.org
The Collaborative Computational Project No. 4 (CCP4) is a UK-led international collective
with a mission to develop, test, distribute and promote software for macromolecular …

Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme

S d'Oelsnitz, DJ Diaz, W Kim, DJ Acosta… - Nature …, 2024 - nature.com
A major challenge to achieving industry-scale biomanufacturing of therapeutic alkaloids is
the slow process of biocatalyst engineering. Amaryllidaceae alkaloids, such as the …

A robust normalized local filter to estimate compositional heterogeneity directly from cryo-EM maps

BO Forsberg, PNM Shah, A Burt - Nature Communications, 2023 - nature.com
Cryo electron microscopy (cryo-EM) is used by biological research to visualize biomolecular
complexes in 3D, but the heterogeneity of cryo-EM reconstructions is not easily estimated …

[HTML][HTML] GEMMI and Servalcat restrain REFMAC5

K Yamashita, M Wojdyr, F Long… - Biological …, 2023 - journals.iucr.org
Macromolecular refinement uses experimental data together with prior chemical knowledge
(usually digested into geometrical restraints) to optimally fit an atomic structural model into …

DIONYSUS: a database of protein–carbohydrate interfaces

A Gheeraert, T Bailly, Y Ren, A Hamraoui… - Nucleic Acids …, 2025 - academic.oup.com
Protein-carbohydrate interactions govern a wide variety of biological processes and play an
essential role in the development of different diseases. Here, we present DIONYSUS, the …

Enhancing gas separation selectivity prediction through geometrical and chemical descriptors

E Ren, FX Coudert - Chemistry of Materials, 2023 - ACS Publications
Adsorption-based techniques for gas separation using nanoporous materials are widely
used and hold a promising future, but systematic identification of the best-performing …

A deep learning solution for crystallographic structure determination

T Pan, S **, MD Miller, A Kyrillidis, GN Phillips - IUCrJ, 2023 - journals.iucr.org
The general de novo solution of the crystallographic phase problem is difficult and only
possible under certain conditions. This paper develops an initial pathway to a deep learning …

[HTML][HTML] Sire: An interoperability engine for prototy** algorithms and exchanging information between molecular simulation programs

CJ Woods, LO Hedges, AJ Mulholland… - The Journal of …, 2024 - pubs.aip.org
Sire is a Python/C++ library that is used both to prototype new algorithms and as an
interoperability engine for exchanging information between molecular simulation programs …

X-ray crystallography module in MD simulation program amber 2023. Refining the models of protein crystals

O Mikhailovskii, SA Izmailov, Y Xue… - Journal of Chemical …, 2023 - ACS Publications
The MD simulation package Amber offers an attractive platform to refine crystallographic
structures of proteins:(i) state-of-the-art force fields help to regularize protein coordinates …

[HTML][HTML] Comprehensive collection and prediction of ABC transmembrane protein structures in the AI era of structural biology

H Tordai, E Suhajda, I Sillitoe, S Nair, M Varadi… - International Journal of …, 2022 - mdpi.com
The number of unique transmembrane (TM) protein structures doubled in the last four years,
which can be attributed to the revolution of cryo-electron microscopy. In addition, AlphaFold2 …