
## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions.

## Associated paper

CysPresso: Prediction of cysteine-dense peptide expression in mammalian cells using deep learning protein representations. BioRxiv link: https://www.biorxiv.org/content/10.1101/2022.09.17.508377v1

## Code

The CysPresso repo can be found at https://github.com/Zebreu/cyspresso/

---
license: mit
---

doi:10.57967/hf/0628 region:us
{}
TAGS
#doi-10.57967/hf/0628 #region-us 


## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions.

## Associated paper

CysPresso: Prediction of cysteine-dense peptide expression in mammalian cells using deep learning protein representations. BioRxiv link: URL

## Code

The CysPresso repo can be found at URL

---
license: mit
---

## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions. ## Associated paper

CysPresso: Prediction of cysteine-dense peptide expression in mammalian cells using deep learning protein representations. BioRxiv link: URL ## Code

The CysPresso repo can be found at URL

---
license: mit
---
TAGS
#doi-10.57967/hf/0628 #region-us 
 ## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions. ## Associated paper

CysPresso: Prediction of cysteine-dense peptide expression in mammalian cells using deep learning protein representations. BioRxiv link: URL ## Code

The CysPresso repo can be found at URL

---
license: mit
---
passage: TAGS
#doi-10.57967/hf/0628 #region-us 
## CysPresso
A machine learning approach to predict the recombinant expressibility of cysteine-dense peptides in mammalian cells based on their primary sequence, compatible with multiple types of protein representations generated by deep learning solutions.## Associated paper

CysPresso: Prediction of cysteine-dense peptide expression in mammalian cells using deep learning protein representations. BioRxiv link: URL## Code

The CysPresso repo can be found at URL

---
license: mit
---