.Gün Kaynar is presenting his poster #17 RECOMB Conference Series. The paper is here academic.oup.com/bioinformatics… w/Doruk Çakmakçı mnms-platform

.Sina Barazandeh is presenting our joint work with Urartu Şeker/@sekerlab as a poster #67 RECOMB Conference Series! with The preprint is here: biorxiv.org/content/10.110…

Team Ercument Cicek: Gün Gün Kaynar, Sina Sina Barazandeh, Sayyed sa-na｜Webデザイン (photo not found)

This is RNAGEN, a model to generate RNA sequences that are optimized for tasks such as targeting a protein. In collab. with SynBioLab, we show that the top sequences generated to target SOX2 selectively bind via in-vitro experiments. furkan ozden, Sina Barazandeh, Dogus Akboga, Urartu Şeker

CICEKLAB’s latest graduate is Sina Barazandeh. He lead multiple projects related to genAI, language models and biological sequences. He is now going to seek a Ph.D. Degree at Carnegie Mellon University PS. Ray and Stephanie Lane Computational Biology Dept. enrolled 20 Ph.D. students this year and 2 are from our lab. What is the pval?

🧬 Just out in Bioinformatics Advances: “UTRGAN: Learning to generate 5’ UTR sequences for optimized translation efficiency and gene expression”   Explore the full study: doi.org/10.1093/bioadv… Authors include: Sina Barazandeh, Urartu Şeker, Ercument Cicek

📢📢Our study on designing novel 5’ UTRs to that yield higher expression levels and mean ribosome load for the target genes is now published in Bioinformatics Advances. This was a study with graduates from my group Sina Barazandeh, furkan ozden; and a collaboration with Urartu Şeker and his student

Very happy to announce that our study on designing RNA to bind and target proteins is now published PLOS Comp Biol. RNAtranslator is a generative language model that formulates protein-conditional RNA design as a sequence-to-sequence natural language translation problem for the