Our ultimate goal is to develop precise machine learning (ML) model allowing to <strong> design CPPs with superior activity </strong>. Here are the main steps which will allow you to build a precise model for CPP design:
Our ultimate goal is to develop precise machine learning (ML) model allowing to <strong> design CPPs with superior activity </strong>. Here are the main steps which will allow you to build a precise model for CPP design:
<strong> 1. Data curation and cleaning. </strong> All inappropriate or ambiguous data should be removed or corrected.
<strong> 1. Data curation and cleaning. </strong> All inappropriate or ambiguous data should be removed or corrected.
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<strong> 6. Evaluation. </strong> Every model should be evaluated beyond performance on train/test datasets. It can be structural analysis of CPP candidates, modelling of interaction with cellular membranes etc.
<strong> 6. Evaluation. </strong> Every model should be evaluated beyond performance on train/test datasets. It can be structural analysis of CPP candidates, modelling of interaction with cellular membranes etc.
<strong> 7. Project design. </strong> All results should be structured and systematized on GitHub for transparency and reproducibility.
<strong> 7. Project design. </strong> All results should be structured and systematized on GitHub for transparency and reproducibility.
ACID Design Lab
7 months ago
committed by
GitHub