Sabrina Silva-Mendonça

PhD candidate at Laboratory for Molecular Modeling and Drug Design and passion for chemoinformatics

[Sabrina Silva-Mendonça @sasmendonca]

#ACSSpring2025 I am thrilled to share that I’ll present my research (ID 4181135) at the ACS Spring 2025 National Meeting & Expo in San Diego! 🎉
Let’s connect and talk about CADD and AI!

[Sabrina Silva-Mendonça @sasmendonca]

@dr_greg_landrum @SwissChemistry I’m so sad for lost the registration, I’ll wait for the next time.

[Sabrina Silva-Mendonça @sasmendonca]

@BNBCHAIN When did it start??! https://t.co/vUkRvS8TxM

[Sabrina Silva-Mendonça @sasmendonca]

@BNBCHAIN Does anyone know if it's possible to participate twice??!

https://t.co/FCdryNXkfo

[Sabrina Silva-Mendonça @sasmendonca]

I’m glad to make a oral and poster presentation, and receive a award for 3th best poster present in 10th BrazMedChem 2022. This presentations and award refresh my love for computational medicinal chemistry. And thank to my all collaborators to make this dream a reality.

[Kirk Borne @KirkDBorne]

Math for #MachineLearning and #Artificialintelligence — FREE 479-page PDF eBook on The #Mathematics & #Statistics Foundations of #DataScience HERE:👉https://t.co/13AdC8x8pA 👈
———
#AI #DeepLearning #BigData #abdsc
—➕—
➕Also download this 412page PDF: https://t.co/Fn4UxwaPuh

[Kirk Borne @KirkDBorne]

700-page PDF — #Algorithms for Decision-Making — download brilliant & comprehensive FREE eBook from MIT: https://t.co/TRP1USGDrF
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#abdsc #AI #MachineLearning #BigData #DataScience #DataScientists #Mathematics #Statistics #DecisionScience #DataLeadership #AnalyticsStrategy

[Matthew Clark @Matthew_BaTiSiO]

Diffusion with collisions between proteins and small molecules. Now things can even pass through the middle of the PCNA donuts. #blender #b3d

[JCIM & JCTC Journals @JCIM_JCTC]

RetroGNN: Fast Estimation of Synthesizability for #VirtualScreening and De Novo Design by Learning from Slow Retrosynthesis Software #DrugDesign #cheminformatics
https://t.co/Cxj0z4gDw6
@marwinsegler @kudkudakpl
#current_issue #JCIM #MachineLearning #DeepLearning

[Cédric Bouysset @cedricbouysset]

ProLIF (v1.0.0) is now available on both pip and conda! A few goodies come with it as well: multiprocessing (enabled by default), a new interaction (van der Waals contact, not active by default) and the ability to save the fingerprint object.
Changelog: https://t.co/Px3CtGt0Gx

[kzfm @fmkz___]

[ASAP] On the Frustration to Predict Binding Affinities from Protein–Ligand Structures with Deep Neural Networks https://t.co/P2OLKdBSxl #medchem #feedly

[Synthesis Workshop @MatthewHorwitz1]

What a creative and beautiful paper on @ChemRxiv on "Molecular Sonification" (turning molecules into music)!

DOI: 10.26434/chemrxiv-2022-g7xkl

https://t.co/LJoLGJUxHl

[Bioinformatics Coach @informatician3]

Hi Friends,
Are you looking for a machine learning tutorial on
#cancer prediction?
Then this tutorial is for you.
https://t.co/NuxUiqj41e

#DataScience #Python #RNA #Bioinformatics #machinelearning #DNA #UCI @scikit_learn @matplotlib #pandas #Python3

[pen(Taka) @iwatobipen]

Make curated Kinase inhibitor dataset from ChEMBL30 #memo #chemoinformatcs https://t.co/b1Efa3oKCG

[Journal of Cheminformatics @jcheminf]

new: "ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations" https://t.co/xcHzPryQD2

[Journal of Cheminformatics @jcheminf]

new: "Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles" https://t.co/zg4ivjhfOB

[JCIM & JCTC Journals @JCIM_JCTC]

DeepNCI: DFT #Noncovalent Interaction Correction with Transferable Multimodal Three-Dimensional Convolutional Neural Networks #MachineLearning #DeepLearning #AI #3DCNN #compchem
https://t.co/0nt51spQVW
#ASAP