#ProteinScience

CSBJcsbj
2025-11-16

🧩 What if the diverse functions of a single protein all trace back to one structural superfamily?

🔗 Evolutionary and structural bioinformatics identifies GPR89 as a conserved member of the LIMR protein superfamily. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.11

📚 CSBJ: csbj.org/

Evolutionary and structural bioinformatics identifies GPR89 as a conserved member of the LIMR protein superfamily. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.11.003
CSBJcsbj
2025-11-01

💪 Could one molecular “typo” break the balance between strength and flexibility in our muscles?

🔗 Dynamical features of smooth muscle actin pathological mutants: The arginine-257(258)-Cysteine cases. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.02

📚 CSBJ: csbj.org/

Dynamical features of smooth muscle actin pathological mutants: The arginine-257(258)-Cysteine cases. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.02.010
CSBJcsbj
2025-10-23

🧬 Can we turn evolutionary signatures into maps of protein function?

🔗 Analysis of Fbox substrate adapter proteins using ProteoSync, a program for projection of evolutionary conservation onto protein atomic coordinates. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.09

📚 CSBJ: csbj.org/

Analysis of Fbox substrate adapter proteins using ProteoSync, a program for projection of evolutionary conservation onto protein atomic coordinates. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.09.012
CSBJcsbj
2025-06-23

🪨 Can sand-like molecules help us map the secrets of protein structure?

🔗 Adsorption of silica oligomers on biomolecules: Structural and dynamical insights for atom probe tomography via classic molecular dynamics simulations. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.06

📚 CSBJ: csbj.org/

Adsorption of silica oligomers on biomolecules: Structural and dynamical insights for atom probe tomography via classic molecular dynamics simulations. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.004
CSBJcsbj
2025-06-07

⚛️ Have proteins evolved to operate at a quantum sweet spot between conduction and insulation?

🔗 Holographic nature of critical quantum states of proteins. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.05

📚 CSBJ Quantum Biology and Biophotonics: csbj.org/qbio

Holographic nature of critical quantum states of proteins. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.049
Genomics Daily 🧬🤖genomics_daily@genomic.social
2025-05-24

🧬 AI cracks protein folding code! D-I-TASSER algorithm maps 81% of human proteome domains, revolutionizing structural biology 🚀 #DeepLearning #ProteinScience #Genomics emmecola.github.io/genomics-da

CSBJcsbj
2025-05-15

🛠️ Is it possible to rewire cellular energy control by targeting a single protein domain?

🔗 Disrupting the network of co-evolving amino terminal domain residues relieves mitochondrial calcium uptake inhibition by MCUb. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2024.12

📚 CSBJ: csbj.org/

Disrupting the network of co-evolving amino terminal domain residues relieves mitochondrial calcium uptake inhibition by MCUb. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.12.007
CSBJcsbj
2025-03-24

This study introduces plmCP, an innovative method for detecting circular permutations (CPs) in proteins using Protein Language Models (PLMs)—paving the way for deeper insights into protein evolution, engineering, and synthetic biology.

🔗 Detection of circular permutations by Protein Language Models. Computational and Structural Biotech Journal, DOI: doi.org/10.1016/j.csbj.2024.12

📚 CSBJ: csbj.org/

Detection of circular permutations by Protein Language Models. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2024.12.029
CSBJcsbj
2025-03-20

This study investigates the surprising limitations of AlphaFold 2 (AF2) in predicting protein structures—specifically its tendency to confidently predict β-solenoid folds for repeat proteins, even when the structures are unrealistic or unstable.

🔗 AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic β-solenoid structures for repeat proteins. DOI: doi.org/10.1016/j.csbj.2025.01

📚 CSBJ: csbj.org/

AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic β-solenoid structures for repeat proteins.
Itamar Kass :protein:IKass@tooot.im
2025-03-09

A great paper (rdcu.be/ecxKI) from the group of Prof. Buckle explaining why Ab can recognize GAD65 but does not recognize GAD67. Also, this highlight (again) that upon brigand-binding, proteins become more stable.
In addition, this paper is a beautiful example of how to combine experimental and theoretical methods for the use of proteins function or dysfunction.

#MolecularDynamics #ProteinScience

Code Labs Academycodelabsacademyupdates
2025-02-13

Latent Labs just got $50M to revolutionize biotech and protein science! What will they create? 🤔

Continue reading the full article codelabsacademy.com/en/news/fo

2025-01-05

Scientists have cracked the code behind proteins’ extraordinary structures, unravelling how these molecular machines fold into shapes critical for life. This breakthrough deepens our understanding of biology and opens the door to designing custom proteins for medicine, energy, and materials. Could this reshape how we engineer solutions at the molecular level? #ProteinScience #Biotechnology #Innovation
nobelprize.org/prizes/chemistr

2025-01-02

AI has transformed protein science, predicting structures with unprecedented speed and accuracy. Yet, while tools like AlphaFold have revolutionized the field, the work is far from over. Understanding protein dynamics, interactions, and functions requires experimental and theoretical advances. AI is a powerful ally in decoding life’s molecular machinery. #AI #ProteinScience #Biotechnology
quantamagazine.org/how-ai-revo

Itamar Kass :protein:IKass@tooot.im
2024-12-27

Thrilled to share our new paper in PROTEINS! "Similar but Distinct-Biochemical Characterization of Staphylococcus aureus Serine Hydrolases FphH and FphI" (doi.org/10.1002/prot.26785) reveals key structural features of these enzymes, including flexible lids and distinct active sites. My MD simulations contributed to this work, led by Matthias Fellner. This research advances our understanding of S. aureus biofilm formation and could lead to targeted therapies.
#ProteinScience
#MolecularDynamics

Lorena Rosaleny #AúnEnPandemiaLorenaRosaleny@scholar.social
2024-09-25

:labcoat: Nanopore sequencing is a new protein sequencing method, which uses a biological motor to pull a protein through a tiny nanopore.

This method can detect post-translational modifications, including phosphorylation, in full-length protein structures at single molecule resolution.

chemistryworld.com/news/nanopo

#ChemToots #ChemiVerse #ProteinScience #Protein

Lorena Rosaleny #AúnEnPandemiaLorenaRosaleny@scholar.social
2024-02-02
2023-09-14

RT @ProteinSociety: The September newsletter is out, with thoughts about AI/ChatGPT, and choosing the right freezer for your research lab! Check it out here: lnkd.in/gR2xqfEu lnkd.in/gmEUGxGQ

#proteinscience #ai #chatgpt #proteindynamics #microscopy #amyloids #scientificwebinar lnkd.in/gR2xqfEu

Lorena Rosaleny #AúnEnPandemiaLorenaRosaleny@scholar.social
2023-07-31

The new method was used to analyse a library of 900,000 protein sequences up to 72 amino acids long. In an experiment lasting one week, it used £1500-worth of reagents, produced 1.8 million measurements and 776,000 high-quality folding stabilities.

chemistryworld.com/news/protei

#ChemToots #ChemiVerse #ProteinFolding #ProteinScience #CompChem

Lorena Rosaleny #AúnEnPandemiaLorenaRosaleny@scholar.social
2023-05-31

Billionaire professor, entrepreneur and Moderna investor Tim Springer donates $210 million endowment to protein science institute, Institute for Protein Innovation (IPI) in Boston, US.

chemistryworld.com/news/billio

#Moderna #ProteinScience #Protein

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