VHH Structural Modelling Approaches: A Critical Review
VHH, ie, VH domains of camelid single-chain antibodies, are very promising therapeutic
agents due to their significant physicochemical advantages compared to classical …
agents due to their significant physicochemical advantages compared to classical …
Assessing the clinical utility of protein structural analysis in genomic variant classification: experiences from a diagnostic laboratory
RC Caswell, AC Gunning, MM Owens, S Ellard… - Genome Medicine, 2022 - Springer
Background The widespread clinical application of genome-wide sequencing has resulted
in many new diagnoses for rare genetic conditions, but testing regularly identifies variants of …
in many new diagnoses for rare genetic conditions, but testing regularly identifies variants of …
Atomic protein structure refinement using all-atom graph representations and SE (3)-equivariant graph transformer
Motivation The state-of-art protein structure prediction methods such as AlphaFold are being
widely used to predict structures of uncharacterized proteins in biomedical research. There …
widely used to predict structures of uncharacterized proteins in biomedical research. There …
Atomic protein structure refinement using all-atom graph representations and SE (3)-equivariant graph neural networks
Abstract Three-dimensional (3D) protein structures reveal the fundamental information about
protein function. The state-of-art protein structure prediction methods such as Alphafold are …
protein function. The state-of-art protein structure prediction methods such as Alphafold are …
Effective Local and Secondary Protein Structure Prediction by Combining a Neural Network-Based Approach with Extensive Feature Design and Selection without …
YV Milchevskiy, VY Milchevskaya, AM Nikitin… - International Journal of …, 2023 - mdpi.com
Protein structure prediction continues to pose multiple challenges despite outstanding
progress that is largely attributable to the use of novel machine learning techniques. One of …
progress that is largely attributable to the use of novel machine learning techniques. One of …
[HTML][HTML] DeepREx-WS: A web server for characterising protein–solvent interaction starting from sequence
M Manfredi, C Savojardo, PL Martelli… - Computational and …, 2021 - Elsevier
Protein–solvent interaction provides important features for protein surface engineering when
the structure is absent or partially solved. Presently, we can integrate the notion of solvent …
the structure is absent or partially solved. Presently, we can integrate the notion of solvent …
The Barroso Research lab: biomolecular interactions, computing, and data-driven science to understand and engineer biological and pharmaceutical systems in a …
Biomolecular interactions, high throughput computing, and data-driven science have been
the central research foundations of the Barroso Research laboratory. We have been …
the central research foundations of the Barroso Research laboratory. We have been …