π§΅ Can #AI help identify the right solvent & antisolvent for a molecule?
Introducing SolviScope, our graph neural network framework for solubility prediction and solvent ranking in pure and binary solvent systems.
Link at the end of this thread
π€ Made with AI
SolviScope is designed to help prioritise experimental solvent screensβnot replace them.
Prospective validation across broader solute and solvent spaces is needed to establish generalisability and quantify experimental savings.
#AIforScience #ComputationalChemistry
SolviScope pre-print is at chemrxiv.org/doi/full/10.264β¦
Hearty congratulations to the authors: Maansi Jain, Ayan Kashyap, Chanukya Nanduru (@ChansAugust) and @AntaripHalder. Special thanks to Prof. Meenesh Singh of @UIC_MaSEL, Bhawakshi Punia, Akash Kushwaha and Zoya Haider.
Replying to @MadhuraMohole
@MadhuraMohole, Scientist Aganitha is at #PharmSci360 @AAPSComms 2026 with a poster: "πππ¨π¦π’π¬ππ’π ππ§π¬π’π π‘ππ¬ π’π§ππ¨ ππ‘π ππ¦π©πππ π¨π ππ¨π§π’π³πππ₯π ππ’π©π’ππ¬ π¨π§ ππ’π¨π©π‘π²π¬π’πππ₯ ππ«π¨π©ππ«ππ’ππ¬ π¨π ππππ¬"
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Reach us at: info!@aganitha.ai.
Learn more about our LNP services: aganitha.ai/science-focus/liβ¦
#ASD of poorly soluble drugs are non-equilibrium systems in which crystallization may be thermodynamically favored.
We couple #PCSAFT with atomistic #MD to identify these risks πͺπ― π΄πͺππͺπ€π° before processing.
Know more at :
aganitha.ai/blogs/de-riskingβ¦
To know more about Igniva, Aganitha's proven #AgenticAI workflows for Science, visit aganitha.ai/products/igniva/


