From prediction to performance: In silico-supported formulation of amorphous solid dispersions for PROTAC NX-2127

Alicia Stakemeier, Lukas Mild, Johannes Sievers, Jitka Kalasová, Kristina E. Steffens, Martin Kuentz, Christian Steinebach, Karl G. Wagner · 2026

Read From prediction to performance: In silico-supported formulation of amorphous solid dispersions for PROTAC NX-2127 by Alicia Stakemeier, Lukas Mild, Johannes Sievers, Jitka Kalasová, Kristina E. Steffens, Martin Kuentz, Christian Steinebach, Karl G. Wagner (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13594704.txt.

Description

Alicia Stakemeier and seven co-authors formulate a hard-to-dissolve cancer drug in a 2026 paper. The drug belongs to a new class that tags proteins for destruction, but it barely dissolves in water and crosses membranes poorly. With little material to spare, the team used computer prediction plus tiny lab screening assays to rank carrier polymers. Two polymers won and were molded into glassy dispersions.

Adding a food acid to one version, with internal salt links, boosted drug release over five hundred-fold in a gut-like buffer. In a two-chamber system mimicking absorption, that version also performed best. Prediction helped, they conclude, but bench screening stayed essential.

Catalog record

CREATORAlicia Stakemeier, Lukas Mild, Johannes Sievers, Jitka Kalasová, Kristina E. Steffens, Martin Kuentz, Christian Steinebach, Karl G. Wagner
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE71 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13594704

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