#ProteinPrediction

@kill-bait.bsky.social

19 hours ago

How AI is Accelerating Drug Discovery Through Data Analysis and Protein Prediction Artificial intelligence is transforming drug discovery by analyzing vast amounts of data and improving the efficiency of the traditionally slow and expensive process. In a webinar hosted by The Conversation, experts Jeffrey Skolnick from Georgia Tech and Benjamin P. Brown from Vanderbilt University discussed AI's potential to address key challenges in biomedical research. Traditional drug development has a low success rate, with many candidates failing due to ineffectiveness or harmful side effects. AI can scan petabytes of biological data to identify connections between diseases, predict protein structures and functions, and suggest new therapeutic approaches, including off-label uses for existing drugs. Skolnick highlighted how deep learning models, such as those using transformers and attention mechanisms like in AlphaFold, enable the discovery of higher-order correlations that humans might miss. This includes understanding disease interrelationships and trajectories, potentially leading to broad-spectrum treatments rather than narrow ones for individual conditions. Brown explained different drug modalities, from small molecules to gene therapies, and how AI builds on decades of molecular dynamics simulations. While AI accelerates virtual screening, protein design, and target identification, experts caution that it is not a replacement for experimental validation and clinical trials. The technology offers hope for treating complex diseases like cancer, autoimmune disorders, and metabolic conditions by integrating collective biological knowledge and proposing alternatives when standard treatments fail. Overall, AI promises to make drug development faster and more reliable, though realistic expectations are necessary.

How AI is Accelerating Drug Discovery Through Data Analysis and Protein Prediction

🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅

#drugdiscovery #proteinprediction

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DNAnexus, Inc.

@dnanexus.bsky.social

6 days ago

Live Webinar: April 24, 9 AM PST | 12 PM EST. Accelerating Protein Structure Prediction and Visualization: Scalable Workflows with Nextflow. Speakers: Darren Ames, Head of Solution Science DNAnexus, and Eric Talevich, VP of Bioinformatics DataXight

Breakthrough bottlenecks and leverage protein structure prediction for AI-driven drug discovery: xtalks.com/webinars/red...

#AI #DrugDiscovery #Pharma #ProteinPrediction #PrecisionMedicine #AlphaFold #Nextflow

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Ben Engel

@cellarchlab.com

2 weeks ago

Here’s the link to Daniil’s thread 🧵 explaining why Stoic is so cool 😎🧪 #AI #ProteinPrediction

bsky.app/profile/dani...

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Pure Science

@purescience.news

5 months ago

The AI model OpenFold3 takes a crucial step in making protein predictions The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

The AI model OpenFold3 takes a crucial step in making protein predictions #Science #Biology #MolecularBiology #OpenFold3 #ProteinPrediction #ArtificialIntelligence

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Kristina

@kristina-keuper.de

6 months ago

This fall, rethink how biology gets done. 🧪🧬
In today’s fast-paced scientific landscape, efficiency is a necessity.
Join me for this seminar and build a strong toolbox!

Register here:
tinyurl.com/2vdk2tfn

#ResearchEfficiency #ProteinPrediction #LiteratureManagement #ScienceCommunication

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Pure Science

@purescience.news

7 months ago

Protein prediction AI could help reactivate dormant immune system in crops Precision engineering could be used to return natural immunity to crops that have lost it over time

Protein prediction AI could help reactivate dormant immune system in crops #Science #Biology #MolecularBiology #ProteinPrediction #AgricultureTech #AIinScience

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Computational and Structural Biotechnology Journal (CSBJ)

@csbj.org

9 months ago

Comprehensive assessment of AlphaFold’s predictions of secondary structure and solvent accessibility at the amino acid-level in eukaryotic, bacterial and archaeal proteins. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.05.047

🔗 Comprehensive assessment of AlphaFold’s predictions of secondary structure and solvent accessibility at the amino acid-level in eukaryotic, bacterial and archaeal proteins. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...

📚 CSBJ: www.csbj.org

#ProteinPrediction

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AiChemist MSCA DN

@aichemist.bsky.social

11 months ago

@ninjani.bsky.social from @biozentrum.unibas.ch kicks off the afternoon session today by diving into the recent advancements in DL-driven protein structure prediction, with a focus on extending the application scope to modelling protein-ligand complexes.

#AlphaFold #ProteinPrediction #DeepLearning

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Emma Sheriff, PhD

@esheriff.bsky.social

1 year ago

I've had good luck with PhANNs in the past and need to annotate only structural proteins from a large dataset of phage genomes, so it seemed like the most straightforward option. Willing to try out other tools though if anyone has suggestions!
#bioinformatics #proteinprediction

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Posts tagged #ProteinPrediction