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A comparative study of protein structure prediction tools for challenging targets: Snake venom toxins

• Authors : Kalogeropoulos, Konstantinos; Bohn, Markus-Frederik; Jenkins, David E.

Subjects: Protein structure prediction; Structural modelling; AlphaFold

• Source: Toxicon, 238

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A comparative study of protein structure prediction tools for challenging targets:Snake venom toxins

• Authors : Kalogeropoulos, Konstantinos; Bohn, Markus-Frederik; Jenkins, David E.

Subjects: Protein structure prediction; Structural modelling; AlphaFold2

• Source: Kalogeropoulos , K , Bohn , M-F , Jenkins , D E , Ledergerber , J , Sørensen , C V , Hofmann , N , Wade , J , Fryer , T , Nguyen , G T T , auf dem Keller , U , Laustsen , A H & Jenkins , T P 2024 , '

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

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

Subjects: Biophysics; Biochemistry; Genetics

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

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

Subjects: Biophysics; Biochemistry; Genetics

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Novel-Type GABA B PAMs: Structure–Activity Relationship in Light of the Protein Structure

• Authors : Balázs Krámos; Zsuzsa Hadady; Attila Makó

Subjects: Biophysics; Biochemistry; Genetics

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Novel-Type GABA B PAMs: Structure–Activity Relationship in Light of the Protein Structure

• Authors : Balázs Krámos; Zsuzsa Hadady; Attila Makó

Subjects: Biophysics; Biochemistry; Genetics

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Lecture materials: protein structure prediction at the Integrated Structural Biology workshops

• Authors : Claudio Mirabello

Subjects: Structural biology (incl. macromolecular modelling); Proteins and peptides; Neural networks

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Exploring the Alternative Conformation of a Known Protein Structure Based on Contact Map Prediction

• Authors : Jiaxuan Li; Lei Wang; Zefeng Zhu

Subjects: Biophysics; Biochemistry; Medicine

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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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Analysis of Ab Initio Protein Structure Prediction Methods

• Authors : Alshammari, Maytha; He, Jing

Subjects: Ab initio protein structure predictions; trRosetta; Quark

• Source: College of Sciences Posters

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