βš›οΈ Can spherical voxelization improve how AI interprets protein chemistry and interactions?

πŸ”— SpheronizaTor: Spherical Voxelization for Interpretable Protein Microenvironment Modeling. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0076

πŸ“š CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

#StructuralBiology #Bioinformatics #ComputationalBiology #ProteinStructure #ArtificialIntelligence #ProteinEngineering #ProteinModeling

NTT Research Assistant Professor or Postdoctoral Scholar

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vitrupo (@vitrupo)

μ˜ν•™μ„ μ†Œν”„νŠΈμ›¨μ–΄μ²˜λŸΌ λ‹€λ£¨λŠ” β€˜ν”„λ‘œκ·Έλž˜λ¨ΈλΈ” λ©”λ””μŠ¨β€™ 비전이 μ†Œκ°œλλ‹€. μ§ˆλ³‘ κ΄€λ ¨ μœ μ „μžλ₯Ό μ°Ύμ•„λ‚΄κ³ , λ‹¨λ°±μ§ˆμ„ μ„€κ³„ν•œ λ’€, κ±΄κ°•ν•œ 볡사본을 μ‚½μž…ν•΄ 개인 맞좀 치료λ₯Ό κ΅¬ν˜„ν•  수 μžˆλ‹€λŠ” λ‚΄μš©μœΌλ‘œ, μ •λ°€μ˜λ£Œμ™€ 생λͺ…곡학 AI의 κ°€λŠ₯성을 κ°•μ‘°ν•œλ‹€.

https://x.com/vitrupo/status/2043185880115073492

#medicine #biotech #personalizedmedicine #proteinengineering #ai

vitrupo (@vitrupo) on X

Medicine is becoming programmable. Basecamp Research CEO Glen Gowers says we can now identify the gene behind a disease, design a protein, and insert a healthy copy. Personalized medicine has been talked about for decades. Now we can program it.

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βš›οΈ Could life itself be a quantum phenomenon disguised as biology?

πŸ”— Quantum Biology Using Ultrafast Integrative and Molecular Engineering Tools: A Perspective. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0024

πŸ“š CSBJ Quantum Biology and Biophotonics: https://spj.science.org/journal/csbj/qbio

#QuantumBiology #QuantumPhysics #MolecularBiology #ProteinEngineering #Biophysics #Biochemistry #Bioinformatics #SystemsBiology #MolecularDynamics #Lifesciences

NTT Research Assistant Professor or Postdoctoral Scholar

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Can the functions of #metalloenzymes be further improved using non-canonical amino acids?

In her talk at #Biochemistry2026, Alexandra Deliz Liang talked about the usage of genetic code expansion in order to improve the activity of metalloenzymes using e.g. hydrophobic tuning.

https://www.biorxiv.org/content/10.1101/2025.02.09.636911v1
#Chemistry #ChemBio #Biochemistry #BioinorganicChemistry #ProteinEngineering
CC: @gdch, @GDCh_BioChem

Alexandra Deliz Liang gave an exciting talk at #Biochemistry2026. She talked about her group's research on "Metalloenzyme engineering with genetic code expansion".

https://www.biorxiv.org/content/10.1101/2025.02.09.636911v1
#Biochemistry #Chemistry #ChemBio #ProteinEngineering #Metalloenzyme
CC: @gdch

Synthetic Biology for Light-Activated Smart Materials

Design and characterise light-responsive proteins and demonstrate light-controlled behaviour of cell-free biology in materials.

#SynBio, #StructuralBiology, #ProteinEngineering, and #biomaterials.

#PhD Studentships are fully funded for 4yrs, with minimum of 3 months at the industry partner. Funding for home (UK) students = tax-free stipend (indicative in year 1 in 2026-27 (Β£21,383), research costs and tuition fees.
https://www.findaphd.com/phds/project/synthetic-biology-for-light-activated-smart-materials/?p193808

How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures

A bioprocess engineer's journey into machine learning and why the pharmaceutical industry desperately needs this bridge When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. What I don't usually mention is that I've been teaching myself machine learning on nights and weekends. Not because it's trendy, but […]

https://kemal.yaylali.uk/from-bioreactors-to-ai-how-i-built-a-machine-learning-tool-to-predict-drug-manufacturing-failures/

How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures – Kemal's

Inito Secures $29M To Build Next-Gen AI-Engineered Home Diagnostics - News Upturn

Inito, the India-based health-tech company known for pioneering at-home hormone testing, has raised $29 million in Series B funding, marking a significant

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