๐ Thrilled to share some amazing news!
๐ฏ Paper:
๐ท๐๐๐๐บ๐๐๐: ๐จ ๐บ๐๐๐๐๐๐-๐ฉ๐๐๐๐
๐ซ๐๐๐ ๐ณ๐๐๐๐๐๐๐ ๐จ๐๐๐๐๐๐๐ ๐๐๐ ๐ท๐๐๐๐๐๐๐-๐จ๐๐๐๐๐๐ ๐ฐ๐๐๐๐๐๐๐๐๐๐ ๐ท๐๐๐
๐๐๐๐๐๐
๐ ๐ฒ๐๐ ๐ฏ๐๐๐๐๐๐๐๐๐:
๐ ๐ฐ๐๐๐๐๐๐๐๐๐: ParaSurf introduces a hybrid deep learning approach for paratope-antigen binding site prediction, with state-of-the-art results on PECAN, Paragraph Expanded, and MIPE datasets, by predicting the entire Fab region of the antibody.
๐ ๐ท๐๐๐๐๐๐๐๐๐๐: ParaSurf significantly advances antibody-antigen interaction predictions, paving the way for new research avenues in immunology and therapeutic antibody design.
โก ๐พ๐๐ ๐ฐ๐ ๐ด๐๐๐๐๐๐:
As an open-access tool, ParaSurf empowers the scientific community with a robust solution for antibody-antigen docking tasks. Its impact extends from basic research to precision immunotherapy development, with significant utility in labs studying CLL and other BcR-antigen cases.
๐ง ๐ช๐- ๐๐๐๐๐๐๐: Anastasia Iatrou, Apostolos Axenopoulos, Kostas Stamatopoulos, Federico Alvarez, and Petros Daras.
๐ ๐พ๐๐๐โ๐ ๐ต๐๐๐?
We aim to shed some light on the docking procedures. Stay tuned for updates!
๐ Try ParaSurf:
๐งฌ ๐๐ข๐ญ๐ก๐ฎ๐ ๐๐จ๐๐: https://lnkd.in/dvNWseAZ
๐ค ๐๐ฎ๐ ๐ ๐ข๐ง๐ ๐
๐๐๐ ๐๐๐ฆ๐จ: https://lnkd.in/dd9hvpkg
๐งพ ๐๐ซ๐๐ฉ๐ซ๐ข๐ง๐ญ ๐จ๐ง ๐๐ข๐จ๐๐ฑ๐ข๐ฏ: https://lnkd.in/d9RX7fTY
