Improving Protein Structure Prediction Utilizing A Reformed Filtering Process
نویسندگان
چکیده
Knowledge of protein structure grants insight on a protein’s function and capabilities within a system. Currently available automated prediction of structures is limited and inconsistent. The Critical Assessment of protein Structure Prediction (CASP) is a worldwide competition to automate the process, and supplementary WeFold allows competing groups to connect with ideas on how to predict proteins. By examining a popular filtering process on the WeFold pipeline, a clearer look into one aspect on why prediction is untrustworthy is presented. Comparing the number of accurate models based on a global distance test to a given template before and after the filtering procedure gives a sense of how well the program is filtering. By adjusting the parameters presented in the filtering code, more accurate results can be yielded. Keywords—CASP, WeFold, Protein Structure, Filtering
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