Protein Structure Prediction: AlphaFold Evolution and OpenFold Insights

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Explores protein folding, hydrophobic interactions, compact conformations, the HP model, co-evolution, and computational methods.

Protein Co-evolutionary Analysis

Explores protein co-evolutionary analysis, covering protein functions, folding, correlations, DCA, and structure prediction tools like AlphaFold 2.

Protein Structure Prediction

Explores predicting protein structure from sequence data using maximum entropy modeling and discusses recent advancements in protein structure prediction.

Protein Functions and Interactions: Sequence Analysis

Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.

Protein Structure Prediction

Delves into predicting protein structure through amino acid contact analysis and advanced computational methods.

Entropy in Neuroscience and Ecology

Delves into entropy in neuroscience data and ecology, exploring the representation of sensory information and the diversity of biological populations.

Quantifying Randomness and Information in Biological Data

Explores entropy, randomness, and information quantification in biological data analysis, including neuroscience and protein structure prediction.

Protein Design: Structure and Function

Covers protein design fundamentals, including secondary structures, amino acid propensity, loops, and computational methods.

Exploring Evolution: Molecular Evidence and Mechanisms

Explores molecular evidence and mechanisms of evolution, including phylogenetic trees and protein comparisons.

Proteins: Structure and Function

Explores the structure and function of proteins, emphasizing their diverse roles in living organisms.