Back to search

Article

Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors

2023-11-11

Abstract excerpt

The development of novel therapeutic proteins is a lengthy and costly process, with an average attrition rate of 91% (Thomas et al., 2021). To increase the probability of success and ensure robust drug supply beyond approval, it is essential to assess the developability profile of new potential drug candidates as early and broadly as possible in development (Jain et al., 2023). Predicting these properties in sili...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7539fb6a-d94d-590c-b73b-32af27addd25
DOI
10.1101/2023.11.10.566515
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictorsDOI 10.1101/2023.11.10.566515
Select a neighboring publication to make it the new centre.