🧬 How metabolism quietly decides cell fate
https://t.co/jpoqpMOE3q
A recent News & Views highlights a powerful idea: cell fate isn’t dictated by transcription factors alone. Instead, metabolism directly shapes cell identity by controlling epigenetic marks — especially https://t.co/3NLDxVTeDn
https://t.co/jpoqpMOE3q
A recent News & Views highlights a powerful idea: cell fate isn’t dictated by transcription factors alone. Instead, metabolism directly shapes cell identity by controlling epigenetic marks — especially https://t.co/3NLDxVTeDn
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🔬👁️ From Bench to Future|Why the Vitreous Ages Before We Notice Vision Loss
https://t.co/s58EWMU7iQ
Vitreous Antioxidants, Degeneration, and Vitreo-Retinopathy
The vitreous body—often overlooked as “just eye gel”—is actually a redox-regulated system protecting the retina from https://t.co/Hopi9mg1Rt
https://t.co/s58EWMU7iQ
Vitreous Antioxidants, Degeneration, and Vitreo-Retinopathy
The vitreous body—often overlooked as “just eye gel”—is actually a redox-regulated system protecting the retina from https://t.co/Hopi9mg1Rt
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Optimizing broadly neutralizing antibodies via all-atom interaction modeling and pre-trained language models
1. A new study presents InterAb, a novel computational model that significantly enhances the prediction of antibody-antigen interactions and optimizes broadly https://t.co/hlwO0L2zbV
1. A new study presents InterAb, a novel computational model that significantly enhances the prediction of antibody-antigen interactions and optimizes broadly https://t.co/hlwO0L2zbV
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The latest work from Technische Universität Dresden and @Uni_of_Kufa by Dr. Ali Al-Fatlawi and his team is now featured in FBS!
Full article👉: https://t.co/BGE2xvcUnA
💡 What hidden genetic interactions drive #DevelopmentalLanguageDisorders?
#Genomics #Neurodevelopment #FOXP2 https://t.co/Q9E0k8U5n1
Full article👉: https://t.co/BGE2xvcUnA
💡 What hidden genetic interactions drive #DevelopmentalLanguageDisorders?
#Genomics #Neurodevelopment #FOXP2 https://t.co/Q9E0k8U5n1
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The headline regarding Sam Altman’s investment in "Preventive" inevitably triggers a reflex comparison to Gattaca or fears of a eugenics-driven future. However, we need to separate science fiction paranoia from medical reality. The outrage often ignores a fundamental distinction: https://t.co/oMnJCAO6KD
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SE3Bind: SE(3)-equivariant model for antibody-antigen binding affinity prediction
1. A new SE(3)-equivariant model named SE3Bind has been introduced to predict antibody-antigen binding affinity, addressing the challenge of limited structural and affinity data. The model https://t.co/ZgsLUi1KvO
1. A new SE(3)-equivariant model named SE3Bind has been introduced to predict antibody-antigen binding affinity, addressing the challenge of limited structural and affinity data. The model https://t.co/ZgsLUi1KvO
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High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design
1. High-PepBinder introduces a novel peptide design framework that integrates protein language models (pLMs) with latent diffusion models, enabling target-specific peptide https://t.co/clzZr41WN8
1. High-PepBinder introduces a novel peptide design framework that integrates protein language models (pLMs) with latent diffusion models, enabling target-specific peptide https://t.co/clzZr41WN8
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Fundamental limitations of genomic language models for realistic sequence generation
1. A new study evaluates the capabilities of genomic language models (gLMs) in generating realistic genomic sequences, revealing significant limitations in capturing essential genomic features. https://t.co/z5wB3H7hxq
1. A new study evaluates the capabilities of genomic language models (gLMs) in generating realistic genomic sequences, revealing significant limitations in capturing essential genomic features. https://t.co/z5wB3H7hxq
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Can immune cells be reprogrammed—simply by choosing the right transcription factor combinations?
Transcription factors don’t work in isolation. In immune cells, it’s the combinatorial logic of TF networks that defines identity, function, and plasticity.
This research presents a https://t.co/S3DRHgyl77
Transcription factors don’t work in isolation. In immune cells, it’s the combinatorial logic of TF networks that defines identity, function, and plasticity.
This research presents a https://t.co/S3DRHgyl77
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The last few days have been tough. Still is. Sometimes life likes to hit you on the face (very brutally☝️😒) with unexpected circumstances that forces you to grow and navigate around.
It surely humbles you.
What to do?
➡️ Re-wire your brain. Probably the most difficult step. https://t.co/Q7juMcUe3z
It surely humbles you.
What to do?
➡️ Re-wire your brain. Probably the most difficult step. https://t.co/Q7juMcUe3z
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DPI-score: A deep learning-based metric for assessing protein-protein interfaces in cryo-EM derived assemblies
1. A new deep learning-based metric, DPI-score, has been developed to assess the quality of protein-protein interfaces in cryo-EM structures. This metric addresses the https://t.co/rWhhMUw4Dg
1. A new deep learning-based metric, DPI-score, has been developed to assess the quality of protein-protein interfaces in cryo-EM structures. This metric addresses the https://t.co/rWhhMUw4Dg
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🧬 National Birth Defects Prevention Month
Congenital conditions affect millions of newborns worldwide each year—but prevention starts with better evidence.
This month, use https://t.co/naK9karkCb to go beyond keyword searches and rapidly uncover:
Mechanistic insights behind https://t.co/0qkZsRRLPq
Congenital conditions affect millions of newborns worldwide each year—but prevention starts with better evidence.
This month, use https://t.co/naK9karkCb to go beyond keyword searches and rapidly uncover:
Mechanistic insights behind https://t.co/0qkZsRRLPq
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Contrastive Geometric Learning Unlocks Unified Structure and Ligand-Based Drug Design
1. A novel approach in computational drug design, ConGLUDe integrates structure-based and ligand-based training into a single model, overcoming traditional limitations of disjoint data sources. https://t.co/Ybu7ENQvGp
1. A novel approach in computational drug design, ConGLUDe integrates structure-based and ligand-based training into a single model, overcoming traditional limitations of disjoint data sources. https://t.co/Ybu7ENQvGp
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The latest work from University of Louisville School of Medicine @uoflmedschool by Prof. Utpal Sen and his team is now featured in FBL!
Welcome to read this article 👉: https://t.co/W5ezUzwjpi
Article Highlights
💡How can active matrix metalloproteinases (MMPs) be reliably https://t.co/5CD8mJWM5I
Welcome to read this article 👉: https://t.co/W5ezUzwjpi
Article Highlights
💡How can active matrix metalloproteinases (MMPs) be reliably https://t.co/5CD8mJWM5I
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