Daniel Garzon Otero

Baq-Col

[CBS Sports Golazo ⚽️ @CBSSportsGolazo]

THE TOUCH. THE FINISH. 🫠

Luis Díaz brings Bayern Munich back to within one goal with a special strike 🔥

[JCIM & JCTC Journals @JCIM_JCTC]

PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Nonstandard Peptides Containing Cycles, Non-natural Residues, Polymer Units, and More #MachineLearning
https://t.co/tNX4yBbwMS
@Daniel24go @clbilodeau @UVA
#JCIM Vol66 Issue2 #Bioinformatics

[Machine Learning in Chemistry @ML_Chem]

PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Nonstandard Peptides Containing Cycles, Non-natural Residues, Polymer Units, and More #machinelearning #compchem https://t.co/evTlhXogK2

[Biology+AI Daily @BiologyAIDaily]

PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Non-Standard Peptides Containing Cycles, Non-Natural Residues, Polymer Units, and More

1. PepFoundry introduces a novel approach to convert peptide sequences, including those with non-canonical amino acids and complex structures like cycles and polymer units, into machine-learning ready representations. This innovation significantly expands the scope of peptides that can be analyzed using ML techniques.

2. The pipeline leverages SMILES strings in the CHUCKLES format to generate atom-mapped RDKit molecule objects. This method allows for the extraction of detailed atom-level features such as Morgan fingerprints and graph representations, which are crucial for accurate ML modeling.

3. A key finding is that atomic-level representations consistently outperform traditional sequence-level representations in predicting peptide properties, regardless of the ML model used. This highlights the importance of incorporating detailed structural information in peptide analysis.

4. PepFoundry also enables the visualization of peptide embeddings in latent space, demonstrating its ability to capture relationships between different peptide classes, including L-peptides, D-peptides, and peptoids. This feature enhances our understanding of peptide chemical space.

5. The package includes a customizable database of amino acids and modifications, making it easy to incorporate new chemistries. This flexibility is essential for researchers working with emerging peptide designs and modifications.

6. PepFoundry provides a scalable platform for peptide discovery and optimization, facilitating the rapid construction of customized peptide libraries. This accelerates the application of ML in peptide-based drug design and other related fields.

📜Paper: https://t.co/FNuovNEEE5
#MachineLearning #PeptideScience #DrugDiscovery #ComputationalBiology #Cheminformatics

[Copa Mundial FIFA 🏆 @fifaworldcup_es]

El Luis Suárez de Santa Marta. 🇨🇴

@FCFSeleccionCol | #CopaMundialFIFA

[ENBAJA @enbajafutbol]

Es la domada de todos los tiempos.

[Daniel Garzon Otero @Daniel24go]

@Cantillista

[Daniel Garzon Otero @Daniel24go]

@LaCasaFamososCo @altafullaa Mondaman Goku con la armadura de Pegasus 💚

[Daniel Garzon Otero @Daniel24go]

@altafullaa Mondaman Goku con la armadura de Pegasus 💚

[Daniel Garzon Otero @Daniel24go]

@nastycitys Tienes esa boca llena de razón. En ese video se ve el merecido ganador.

[Daniel Garzon Otero @Daniel24go]

@NeiderGarcia_ Yo creo que los fans de Melissa que están comentando no se han dado cuenta que es un sarcasmo…

[Daniel Garzon Otero @Daniel24go]

@pipegil__ En fin, la hipotenusa.

[Daniel Garzon Otero @Daniel24go]

@angieeepf En fin, la hipotenusa.

[Daniel Garzon Otero @Daniel24go]

@MariaLauraGP7 Lo más odiado de la costa caribe colombiana en estos momentos

[Daniel Garzon Otero @Daniel24go]

@Reickdice @Maurodiazleal Ellos creen que el programa se llama Resistiré o es el desafío. Eso es un reality de convivencia.

[Daniel Garzon Otero @Daniel24go]

@Reickdice Lo más odiado de la costa caribe colombiana

[Daniel Garzon Otero @Daniel24go]

@Riri25_ww @zuleecordoba Escribí lo mismo en el grupo de telegram y me expulsaron como niños inmaduros… Los administradores deberían poner el nombre Team Administradores, son 0 objetivos.

[Camille Bilodeau @clbilodeau]

🚀 Want to predict peptide properties using deep learning?

I'm excited to share the first Bilodeau Group paper, led by @Daniel24go, introducing PepMNet, a hierarchical graph model for predicting peptide properties!

Link: https://t.co/oIcPBzhiT9

#DrugDiscovery #DeepLearning

[Daniel Garzon Otero @Daniel24go]

@WestCOL El peor enemigo de un colombiano, es un colombiano

[Camille Bilodeau @clbilodeau]

Interested in a PhD in Chemical Engineering? At UVA, we've got leading research programs in catalysis, biomaterials, separations, simulations, and more! Come talk to us at one of our virtual info sessions:

9/18: 8-9am
10/1: 7-8pm
10/17: 8-9am

👇Check out below for details!