The main challenge here is to develop <strong> unbiased model </strong> not limited to existing CPP structures and cell penetration mechanisms. Another challenge is to develop CPPs <strong> for particular drug delivery system and setup </strong>, which includes multi-property optimization (amphiphilicity, molecular weight, toxicity etc.). Finally, models should be <strong> interpretable </strong>, which means user should know why particular CPP demonstrates its activity, and what are the possible ways to improve it further.
The main challenge here is to develop <strong> unbiased model </strong> not limited to existing CPP structures and cell penetration mechanisms. Another challenge is to develop CPPs <strong> for particular drug delivery system and setup </strong>, which includes multi-property optimization (amphiphilicity, molecular weight, toxicity etc.). Finally, models should be <strong> interpretable </strong>, which means user should know why particular CPP demonstrates its activity, and what are the possible ways to improve it further.
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<h3> What do you need to do? </h3> :computer:
<h3> What do you need to do? :computer: </h3>
<ins><h4> 1. Choose the tasks. </h4></ins> Sequence classification, uptake quantitative prediction, or sequence generation.
<ins><h4> 1. Choose the tasks. </h4></ins> Sequence classification, uptake quantitative prediction, or sequence generation.
ACID Design Lab
7 months ago
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GitHub