RT @HBioinformatics: 🎉Announcing the first keynote speaker for #HIBIT2025: Younes Mokrab, PhD (Sidra Medicine). 📍Istanbul Medipol Universit….

Happy to contribute to this perspective!.

++.vulnerable populations, limitations of current antivirals, and the advanced experimental models. We weave in recent AI‑driven modelling and prediction studies to highlight computational insights to overcome experimental bottlenecks. Happy to contribute to this piece!.

🚨 Our latest review is published in the Journal of Virology:. “Mpox: disease manifestations and therapeutic development”. Read it here: . #Virology #Biomedicine #AI .This piece explores monkeypox’s evolving global impact, clinical features across.

++.You can also take a look at the pre-print:. Code:. And the original work (2022):. Congrats to co-first authors Elif, Gökay, Erva & Ardan 👏. Please RT if you find this helpful!. #LLMs #AI #Bioinformatics

++.3.Drug-target family classification.4.Protein–protein binding affinity estimation. Web app @huggingface : Evaluate your own embeddings, get leaderboards, visualizations & task-specific metrics. We also present comparisons to multi-modal pLMs now.

++.We present an online leaderboard to PROBE, our framework to evaluate protein representation learning methods on function-related tasks. What PROBE tests 🧪. Four tasks capturing different facets of protein function (PFP):.1.Semantic similarity inference.2.Ontology-based PFP.

🚀 Our new book chapter is out in Protein Function Prediction: Methods and Protocols:. “A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction Tasks”. w/ @elif_cevrim @mgyigit @ervaulusy & Ardan Yılmaz.

RT @HBioinformatics: Follow us for further details and all announcements! #HIBIT2025

Wrapping up an incredible #ISMBECCB2025 in Liverpool! 🎉 Huge thanks to the @ISCB , organizers & the bioinformatics community for a week of breakthrough science, collaboration & inspiration. Signing off from the Hacettepe Biological Data Science Lab—see you at the next one 👋

Finally, Ender, Sezin, Furkan, Atabey, Semih, Alperen, and Ufuk shine at #ISMBECCB2025 posters—showcasing ML/DL for protein function, KGs, RAG Q&A, molecule design, generative AI, contrastive embeddings & scalable protein LMs.

Melike Akkaya is live right now (Room 12) in the #TextMining COSI at #ISMBECCB2025, presenting “ProQuest: Large Language Model Applications on the UniProt Protein Sequence and Annotation Database” — demonstrating how LLMs tap biological databases for deeper insight 🤖🧬

Erva Ulusoy is on right now in the #BOKR COSI at #ISMBECCB2025—Room 3A—unveiling CROssBARv2, our unified biomedical knowledge graph powering Language model‑driven exploration across heterogeneous biomedical data. Tune in or swing by for fresh KG+LLM insights! 🔗🧬

Bünyamin Şen just wrapped up his #CSI track presentation at #ISMBECCB2025, showcasing BepiCon — a geometric deep-learning framework for conformational B-cell epitope prediction.

Erva Ulusoy @ervaulusy is on stage presenting ProtHGT—heterogeneous graph transformers + protein LMs for protein‑function prediction with biological knowledge graphs— on the #Function stage at #ISMBECCB2025

Ali Baran Taşdemir @alibrnt presented FlowProt — classifier‑guided flow matching for targeted protein backbone design — on the #3DSIG stage at #ISMBECCB2025

Virtual (on‑demand).ProtSSM—Selective state‑space protein LMs (M. Gök).BepiCon—Geometric DL predicts B‑cell epitopes (B. Şen).CROssBARv2‑Pipe—Dockerised KG pipeline (M. Darcan).MolSiT—Interpolant Transformer for molecule generation (M.G. Yiğit).

24 Jul Posters 10:00 & 13:00.D‑344 MoCL‑GAT—Contrastive GAT learns molecular embeddings (A. Dalkıran, METU Kansil Lab.).D‑356 ProtGEN‑GAN—Transformer GAN proposes novel protein sequences (U. Tanrıverdi).

23 Jul Posters 10:00 / 16:00.C‑347 Prot2Mol.2—LMs craft drug leads for protein targets (A. Ünlü).C‑473 CROssBARv2—KG boosts biomolecular annotation (T. Doğan).C‑365 ProDesign—LM designs proteins de novo (S. Yiğitarslan).

22 Jul Posters 10:00 / 16:00.B‑254 TransPRSFP—Transformer predicts region‑specific protein functions (E. Sarıbay).B‑257 ProQuest—RAG model summarises protein knowledge (S. Yavuz).B‑503 Prot2Mol.1—Transformer designs target‑conditioned molecules (F. Öztürk).