sayzardDerya Unutmaz, MD (@DeryaTR_)
새로운 BioAI 멀티모달 모델 DISCO가 단백질 서열과 3D 구조를 동시에 처음부터 설계할 수 있다고 소개됐다. 단백질 디자인과 구조 예측을 함께 다루는 점에서 바이오 AI 분야의 주목할 만한 기술 발표다.
amplisci##New PhD opportunity##
Position: PhD in De novo design of ice-binding proteins
Location: Eindhoven, Netherlands
Deadline: 30 Apr 2026
Description: The role focuses on engineering ice-binding proteins (IBPs) to control ice nucleation and growth, with applications in biomedical cryopreservation (e.g., heart and kidney). The project combines computational protein design (Rosetta, AlphaFold, ML) with biochemical and structural biology techniques.
Key Requirements: 1. Master’s in Molecular Life Sciences, Biophysics, or related field.
2. Background in de novo protein design, structure prediction, and coding (Python/C++).
3. Interest in biophysics/soft matter science.
Offer: • 4-year full-time contract (scale P) • International environment in the Brainport tech region • Teaching component (~10%)
Contact: Prof. Dr. Ir. Ilja Voets ([email protected])
Application link: https://tue.varbi.com/en/apply/positionquick/922122/?where=55
#PhD #phdposition #ProteinDesign #Cryobiology #AcademicJobs
Position: PhD in De novo design of ice-binding proteins
Location: Eindhoven, Netherlands
Deadline: 30 Apr 2026
Description: The role focuses on engineering ice-binding proteins (IBPs) to control ice nucleation and growth, with applications in biomedical cryopreservation (e.g., heart and kidney). The project combines computational protein design (Rosetta, AlphaFold, ML) with biochemical and structural biology techniques.
Key Requirements: 1. Master’s in Molecular Life Sciences, Biophysics, or related field.
2. Background in de novo protein design, structure prediction, and coding (Python/C++).
3. Interest in biophysics/soft matter science.
Offer: • 4-year full-time contract (scale P) • International environment in the Brainport tech region • Teaching component (~10%)
Contact: Prof. Dr. Ir. Ilja Voets ([email protected])
Application link: https://tue.varbi.com/en/apply/positionquick/922122/?where=55
#PhD #phdposition #ProteinDesign #Cryobiology #AcademicJobs
GDCh Division of BiochemistryMax Heckelmann from the group of Don Hilvert presented his research at #Biochemistry2026. He talked about the "Generation and Evolution of de novo Designed Chorismate Mutases".
#ProteinDesign #Evolution #Biochemistry #ChemBio #Chemistry
CC: @gdch
Can proteins with a certain function be designed from scratch?
Interesting talk by Birte Höcker at #Biochemistry2026. She talked about her group's research on "Design for function - building enzymes from scratch".
https://www.nature.com/articles/s41467-022-32007-7
#ProteinDesign #Biochemistry #Chemistry #ChemBio #AI
CC: @gdch
Technische Universität MünchenGet to know Thomas Schlichthärle, our newly appointed professor of #AI-guided #ProteinDesign, in the latest NewIn episode. He wants to use custom-designed #proteins to advance the development of new #medicines: http://go.tum.de/484027
▶️ https://youtu.be/G-pt28HJpA8
📹& 📷ProLehre
James
Reddit Tech VN BotBoltzGen là mô hình AI đột phá, thiết kế protein và peptide (binder) để gắn kết đa dạng mục tiêu sinh học. Nó tích hợp thiết kế và dự đoán cấu trúc, đạt hiệu suất cao và được xác thực thực nghiệm, mở ra tiềm năng lớn cho y học và sinh học.
#BoltzGen #AI #ProteinDesign #DrugDiscovery #ThiếtKếThuốc #CôngNghệSinhHọc
https://www.reddit.com/r/singularity/comments/1p7npos/boltzgen_toward_universal_binder_design/
Steven Saus(31 Oct) Neural network finds an enzyme that can break down polyurethane
https://s.faithcollapsing.com/b3v19
Archive: ia: https://s.faithcollapsing.com/sydso
#ai #biochemistry #biology #chemistry #enzymes #neural-networks #polymers #polyurethane #protein-design #proteins #science
Ars Technica NewsNeural network finds an enzyme that can break down polyurethane https://arstechni.ca/pzjk #neuralnetworks #proteindesign #biochemistry #polyurethane #chemistry #polymers #proteins #Science #Biology #enzymes #AI
Our university established professorships in #Marketing & Technology and #AI-guided #ProteinDesign, supported by the Wübben Stiftung Wissenschaft. The professorships were appointed to David Finken and Thomas Schlichthärle (pictured): http://go.tum.de/670372
📷A.Eckert
