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ChatGPT vs small models : can Goliath help David ?
The work journey of an NLP specialist is full of challenges. One of the main challenges that all specialists in the field may face is a...
Daria Kaminska, Irene Zhykina
4 min read


Building a python webrtc backend with aiortc
In this article, we share our experience and a few lessons learned dealing with aiortc, a handy python package produced and open sourced by Jeremy Laine [1] that allows establishing a simple python webrtc backend . Webrtc is a widely adopted peer-to-peer media exchange protocol, supported by most browsers and mobile phones, and behind many video conference solutions like GMeet or Facebook Messengers. The aiortc package is not only useful to establish webrtc servers : it also
Thibaut Soubrié
7 min read


A dive into blood-brain barrier permeability prediction models (part 3)
In the previous articles, we described the problem of Brain Blood Barrier (BBB) permeability and the importance of considering this feature in the drug development process. We also presented the need for constructing ML models that predict substrates and inhibitors of two known BBB influx transporters, OATP1A2 and OATP2B1 . In this article, we describe how we constructed six models that classify drugs into : substrates/non-substrates of BBB transporters inhibitors/non-inhib
Anastasiia Navalikhina
5 min read


A dive into blood-brain barrier permeability prediction models (part 2)
In our first article , we have seen that blood-brain barrier (BBB) has a limited permeability for most chemicals and that getting a drug inside the brain, a step key to drug development process, might be tricky. Some drugs can pass through this barrier passively by diffusion and others can only be delivered by specialized proteins named influx transporters. In this second article we are going to get our data ready for Machine Learning models which will predict substrates of
Anastasiia Navalikhina
5 min read
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