Search Results

The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors

• Authors : Varadi, M; Bordin, N; Orengo, C

Subjects: Protein Structure Predictions; Deep learning; Structural biology

• Source: Current Opinion in Structural Biology , 79 , Article 102543. (2023) (In press).

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Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins

• Authors : Kandathil, SM; Greener, JG; Lau, AM

Subjects: Protein structure prediction; deep learning; metagenomics

• Source: Proceedings of the National Academy of Sciences of the United States of America , 119 (4) , Article e2113348119. (2022)

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Machine Learning Integrating Protein Structure, Sequence, and Dynamics to Predict the Enzyme Activity of Bovine Enterokinase Variants

• Authors : Elia Venanzi, Niccolo Alberto; Basciu, Andrea; Vargiu, Attilio Vittorio

• Source: Journal of Chemical Information and Modeling (2024) (In press).

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Modeling flexible protein structure with AlphaFold2 and cross-linking mass spectrometry

• Authors : Manalastas-Cantos, Karen; Adoni, Kish R; Pfeifer, Matthias

• Source: Molecular & Cellular Proteomics (MCP) , 23 (3) , Article 100724. (2024)

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Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

• Authors : Senior, AW; Evans, R; Jumper, J

Subjects: CASP; Protein structure prediction; deep learning

• Source: Proteins , 87 (12) pp. 1141-1148. (2019)

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VarSite: disease variants and protein structure

• Authors : Laskowski, RA; Stephenson, JD; Sillitoe, I

Subjects: 3D protein structure; CATH; ClinVar

• Source: Protein Science , 29 (1) pp. 111-119. (2020)

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Machine learning methods for predicting protein structure from single sequences

• Authors : Kandathil, Shaun M; Lau, Andy M; Jones, David T

• Source: Current Opinion in Structural Biology , 81 , Article 102627. (2023)

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AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms

• Authors : Bordin, Nicola; Sillitoe, Ian; Nallapareddy, Vamsi

Subjects: Humans; Furylfuramide; Databases

• Source: Communications Biology , 6 (1) , Article 160. (2023)

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Reliable Generation of Native-Like Decoys Limits Predictive Ability in Fragment-Based Protein Structure Prediction

• Authors : Kandathil, SM; Garza-Fabre, M; Handl, J

Subjects: conformational sampling; fragment assembly; protein structure prediction

• Source: Biomolecules , 9 (10) , Article 612. (2019)

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Recent Developments in Deep Learning Applied to Protein Structure Prediction

• Authors : Kandathil, SM; Greener, JG; Jones, DT

Subjects: Deep Learning; protein structure prediction

• Source: Proteins (2019) (In press).

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