SAP Database
Description
This database compiles, in a user-friendly manner, the self-assembling peptides database from Data-mining unveils structure–property–activity correlation of viral infectivity enhancing self-assembling peptides and correlates experimental data with IDPP MD simulations.
Access the database directly via the site link.
References
1.Kaygisiz, K., Rauch-Wirth, L., Dutta, A. et al. Data-mining unveils structure–property–activity correlation of viral infectivity enhancing self-assembling peptides. Nat Commun 14, 5121 (2023). https://doi.org/10.1038/s41467-023-40663-6 2. G. Tesei, K. Lindorff-Larsen. Improved predictions of phase behaviour of intrinsically disordered proteins by tuning the interaction range. Open Research Europe (2022), 2(94). DOI: 10.12688/openreseurope.14967.2 3. F. Cao, S. von Bülow, G. Tesei, K. Lindorff-Larsen. A coarse-grained model for disordered and multi-domain proteins. Protein Science (2024), 33(11):e5172. DOI: 10.1002/pro.5172 4. Bing Huang and O. Anatole Von Lilienfeld. “Quantum machine learning using atom-in- molecule-based fragments selected on the fly”. In: Nature Chemistry 12.10 (Oct. 2020), pp. 945–951. 5. G. Tesei, T. K. Schulze, R. Crehuet, K. Lindorff-Larsen. Accurate model of liquid-liquid phase behavior of intrinsically disordered proteins from optimization of single-chain properties. PNAS (2021), 118(44):e2111696118. DOI: 10.1073/pnas.2111696118