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The CCP4 suite: integrative software for macromolecular crystallography
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 …
with a mission to develop, test, distribute and promote software for macromolecular …
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme
A major challenge to achieving industry-scale biomanufacturing of therapeutic alkaloids is
the slow process of biocatalyst engineering. Amaryllidaceae alkaloids, such as the …
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
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 …
complexes in 3D, but the heterogeneity of cryo-EM reconstructions is not easily estimated …
[HTML][HTML] GEMMI and Servalcat restrain REFMAC5
Macromolecular refinement uses experimental data together with prior chemical knowledge
(usually digested into geometrical restraints) to optimally fit an atomic structural model into …
(usually digested into geometrical restraints) to optimally fit an atomic structural model into …
DIONYSUS: a database of protein–carbohydrate interfaces
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 …
essential role in the development of different diseases. Here, we present DIONYSUS, the …
Enhancing gas separation selectivity prediction through geometrical and chemical descriptors
Adsorption-based techniques for gas separation using nanoporous materials are widely
used and hold a promising future, but systematic identification of the best-performing …
used and hold a promising future, but systematic identification of the best-performing …
A deep learning solution for crystallographic structure determination
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 …
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
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 …
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
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 …
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
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 …
which can be attributed to the revolution of cryo-electron microscopy. In addition, AlphaFold2 …