Authors:

Anouka Saha

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About Paper:

The Critical Assessment of protein Structure Predictions (CASP)-Critical Assessment of PRediction of Interactions (CAPRI) competition aims to advance methods of predicting protein structure from sequence information. The current year's CASP (CASP16) focuses on predicting protein monomer and multimer structures, ligand interactions with proteins, nucleic acid complexes and protein-nucleic acid complexes. As part of the Kihara lab's efforts in predicting biomolecular structures from the given sequences, I use AlphaFold3, a deep-learning software used to predict structures from sequences, corroborating my results with templates of similar sequences and literature searches, which give us known information about said protein target. There are various phases of targets for CASP; phase 0 where the stoichiometry of a protein is unknown, phase 1 where the stoichiometry is known, and phase 2 where we have to choose models that the group stipulates as accurate from thousands of user submitted model structures. Keywords: Proteins; Protein Modeling; Deep-Learning; Structural Biology

Source:

Purdue University / 2024

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No topics listed

Co-authors:

Anouka Saha