Homology-based Predictions and Ab Initio Methods Quiz
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Questions and Answers

What is the main requirement for homology based predictions to be done?

Known structure of homologous protein is required

What is the main principle behind Ab initio predictions?

Predicts structure based on principles of thermodynamics and physicochemical theory

Which experimental method is the most accurate for predicting protein structures?

X-ray crystallography

What is Sensitivity in assessing prediction quality?

<p>Sensitivity measures what share of the actual positives are predicted</p> Signup and view all the answers

What is Specificity in assessing prediction quality?

<p>Specificity measures what share of the predicted values are true</p> Signup and view all the answers

What does Q3 Assessment measure?

<p>Q3 Assessment measures the accuracy of individual amino acids</p> Signup and view all the answers

What does Sov measure in terms of structure prediction?

<p>Sov measures the percentage of correctly predicted secondary structures.</p> Signup and view all the answers

When does Sov perform poorly?

<p>Sov performs poorly when overlapping segments between predicted and observed structures are very fragmented.</p> Signup and view all the answers

What does a high RMSD value indicate in structure prediction?

<p>A high RMSD value indicates more discrepancies between observed and predicted structures.</p> Signup and view all the answers

Why should the test dataset in machine learning not be homologous to the training set?

<p>To avoid performance bias, the test dataset should not be homologous to the training set.</p> Signup and view all the answers

What does adding noise in machine learning aim to prevent?

<p>Adding noise aims to prevent overfitting by introducing variation in predictions.</p> Signup and view all the answers

What concept in machine learning tries to avoid overfitting?

<p>Adding noise helps in avoiding overfitting in machine learning.</p> Signup and view all the answers

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