Results 141 to 150 of about 394,231 (262)

Emerging frontiers in protein structure prediction following the AlphaFold revolution. [PDF]

J R Soc Interface
Rennie ML, Oliver MR.
europepmc   +1 more source

Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. [PDF]

Commun Biol, 2023
Xia Y, Zhao K, Liu D, Zhou X, Zhang G.
europepmc   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

FEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez, Diana Ascencio, Miguel Vallebueno‐Estrada, Eduardo González‐Orozco, Christian Eduardo Martínez‐Guerrero, Rafael Montiel, Alexander DeLuna   +6 more
wiley   +1 more source

Adaptive gradient scaling: integrating Adam and landscape modification for protein structure prediction. [PDF]

BMC Bioinformatics
Kapitan V, Choi M.
europepmc   +1 more source

Protein structure prediction has reached the single-structure frontier. [PDF]

Nat Methods, 2023
Lane TJ.
europepmc   +1 more source

Identifying and characterising a plant GH1 β‐glucosidase that exhibits hydrolytic activity on N‐linked glucopyranoside

FEBS Open Bio, EarlyView.
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli, Carlotta Chiesa, Maher Abou Hachem, Ditte Hededam Welner   +3 more
wiley   +1 more source

Protein structure prediction via deep learning: an in-depth review. [PDF]

Front Pharmacol
Meng Y, Zhang Z, Zhou C, Tang X, Hu X, Tian G, Yang J, Yao Y.   +7 more
europepmc   +1 more source

Target-template relationships in protein structure prediction and their effect on the accuracy of thermostability calculations. [PDF]

Protein Sci, 2023
Lihan M, Lupyan D, Oehme D.
europepmc   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

Phyre2.2: A Community Resource for Template-based Protein Structure Prediction. [PDF]

J Mol Biol
Powell HR, Islam SA, David A, Sternberg MJE.   +3 more
europepmc   +1 more source