🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

New paper alert! 🚨🚨🚨 I'm quite excited to announce that our study on applying #DeepLearning architectures (language models) to the functional analysis of proteins has finally been published Nature Machine Intelligence journal rdcu.be/cJAKN #AI #NLP #Protein #Bioinformatics 1/n

With the participation of the BSC researcher Marta Melé from Melé Lab ⬇

📢 Anyone interested in de novo drug 💊 design using deep generative models: we are happy to share the papers we collected for you, as we think they will be a good start. Contributions are welcomed! Cc: Tunca Doğan Ahmet Rifaioğlu Heval Ataş Güvenilir Atabey Ünlü github.com/asarigun/aweso…

Excited to announce 2nd Stanford Graph Learning Workshop on Wed Sept 28th with leaders from academia and industry to showcase recent advances of Graph Representation Learning across a wide range of applications. Program & free registration: snap.stanford.edu/graphlearning-…

We are super excited to announce keynote speakers for the inaugural Learning on Graphs Conference: Marinka Zitnik Soledad Villar Stephan Günnemann Taco Cohen

Our study (w/ my recently graduated PhD student Dr Fulya Ciray) on machine learning-based prediction of regulatory drug approvals is published in the Expert Opinion on Drug Discovery journal Taylor & Francis Research Insights 🥳🎉🤟 doi.org/10.1080/174604… #DrugDiscovery #patent #ML #AI 🧵 1/n

I am looking for 2 postdocs. I have only two criteria: 1. Ph.D. in any computational science (BIO, CS, engineering, or others) 2. Interest in genomics Flexible funding, project not set. Ideas are welcome. We can shape the project together. Please get in touch for more details.

New paper 🚨 The first output of the DrugGEN project "Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks" is out arxiv.org/abs/2302.07868 #GenerativeAI #DeepLearning #DrugDesign #DrugDiscovery #ML #AI 🧵1/10

New paper 🚨🤟🥳🎸 "SELFormer: Molecular Representation Learning via SELFIES Language Models" is out as a pre-print arxiv.org/abs/2304.04662 Started as an undergraduate course project and evolved into a new chemical language model! #DeepLearning #DrugDiscovery #ML #AI 1/8

I am extremely happy to announce that our EMBO #EMBOIntegModelling23 Practical Course, which we organize with Alexandre Bonvin - also on Bluesky Arne Elofsson @arneelof.bsky.social is open for registrations! meetings.embo.org/event/23-biomo… We have an amazing list of speakers and topic coverage! So, please spread the word by RT!

Register for our next webinar on link prediction! Learn more about how to build and scale link prediction for production use cases. info.kumo.ai/link-predictio…

Deeply grateful to my amazing advisor for his guidance and support throughout my doctoral studies. With his mentorship, I've grown both academically and personally. He is truly my Master Yoda, and I feel so lucky to work with him! Thank you for everything Tunca Doğan!👩‍🎓 #PhDone

New paper alert 🚨 I'm happy to announce that our collaborative project led by @slobentanzer & Julio Saez-Rodriguez Saez-Rodriguez Group on developing an #opensource framework called "BioCypher" for easy creation & manipulation of biological knowledge graphs has been published Nature Biotechnology 🥳