alvaQSAR 1.2 is here — a FREE web-based QSAR platform for rapid in silico prediction of environmental and toxicological endpoints.
✔ 9 OECD-aligned models
✔ Applicability Domain & QMRF
✔ Prediction reports & charts
✔ Designed to support alternatives to animal testing
Inside alvaQSAR #4: What is behind your prediction?
Each model has a QMRF covering the endpoint, data sources, descriptors, algorithm, validation and applicability domain.
https://t.co/4oM3WuZmey
#alvaQSAR#QSAR#Cheminformatics#ComputationalToxicology#alvatips
🐝 Three alvaDesc descriptors feature in a six-descriptor model of pesticide mixture toxicity to honey bees. The study also tests predictions when one or both constituents are absent from training.
Paper: https://t.co/am0nXwhb4F
alvaDesc: https://t.co/XvCDHIBg2o
#alvaDesc#QSAR
Our alvaQSAR paper is now published in @IJMS_MDPI: nine environmental and toxicological models, with applicability-domain assessment, model documentation and downloadable reports.
Read it: https://t.co/03NSxMWsEF
Yurchenko et al. used alvaMolecule in a scaffold-analysis workflow for 461 marine fungal metabolites.
The study links structural diversity analysis with computational screening and experimental follow-up.
Paper: https://t.co/gywge3OuEi
alvaMolecule: https://t.co/6Ui7ZTGDI4
🎥 Missed our alvaModel webinar?
Watch the recording to explore QSAR/QSPR model development, validation and comparison through a graphical interface.
▶️ https://t.co/WqthOk8qaE
#alvaModel#QSAR#Cheminformatics
Explore alvaDesc with a free online hands-on workshop hosted by @AffinityScience on November 26.
An opportunity to get started with molecular descriptors for QSAR and materials informatics.
Details and registration in the original post 👇
#alvaDesc#Cheminformatics
Duong et al. combined #alvaDesc descriptors with DFT-derived information to model TD-DFT optical properties of aminated graphene quantum dots. A focused QSPR application in materials research, published in MRS Advances.
Paper: https://t.co/UR2qlEfZ1a
#QSPR#cheminformatics
📅 Tomorrow: our alvaModel webinar
Join us for a practical look at building, validating and comparing QSAR/QSPR models with alvaModel.
Friday, October 23, 2026
15:30–16:15 CEST (UTC+02:00)
Register for the webinar: https://t.co/Cjuq2z0NuP
#alvaModel#QSAR#Cheminformatics
Five alvaDesc descriptors feature in a ten-feature Random Forest model for blood–brain barrier permeability classification.
Sciaraffa et al. explore the balance between predictive performance and model complexity via @jcheminf
Read the paper at: https://t.co/z4kYLLNcjQ
alvaDesc in multimodal learning: a new Nature Communications study evaluated it as an alternative descriptor input in Chemical Dice Integrator, retraining the framework across 10 classification datasets.
Paper: https://t.co/DXq5pj5jbO via @NatureComms#cheminformatics