The UNited RESidue (UNRES) force field was tested in the 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP14), in which larger oligomeric and multimeric targets were present compared to previous editions. Three prediction modes were tested (i) ab initio (the UNRES group), (ii) contact-assisted (the UNRES- contact group), and (iii) template-assisted (the UNRES-template group). For most of the targets, the contact restraints were derived from the server models top-ranked by the DeepQA method, while the DNCON2 method was used for 11 targets. Our consensus- fragment procedure was used to run template-assisted predictions. Each group also processed the Nuclear Magnetic Resonance (NMR)- and Small Angle X-Ray Scattering (SAXS)-data assisted targets. The average Global Distance Test Total Score (GDT TS) of the ‘Model 1’ predictions were 29.17, 39.32, and 56.37 for the UNRES, UNRES-contact, and UNRES-template predictions, respectively, increasing by 0.53, 2.24, and 3.76, respectively, compared to CASP13. It was also found that the GDT TS of the UNRES models obtained in ab initio mode and in the contact-assisted mode decreases with the square root of chain length, while the exponent in this relationship is 0.20 for the UNRES-template group models and 0.11 for the best performing AlphaFold2 models, which suggests that incorporation of database information, which stems from protein evolution, brings in long-range correlations, thus enabling the correction of force-field inaccuracies.
Authors
- Anna Antoniak,
- Iga Biskupek,
- Krzysztof K. Bojarski,
- Dr hab. Cezary Czaplewski,
- Artur Giełdoń,
- Mateusz Kogut,
- Małgorzata M. Kogut,
- Paweł Krupa,
- dr inż. Agnieszka Lipska link open in new tab ,
- Adam Liwo,
- dr hab. inż. Emilia Lubecka link open in new tab ,
- Mateusz Marcisz,
- Martyna Maszota-Zieleniak,
- Sergey A. Samsonov,
- Adam K. Sieradzan,
- Magdalena J. Ślusarz,
- Rafał Ślusarz link open in new tab ,
- Patryk A. Wesołowski,
- Karolina Ziȩba
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1016/j.jmgm.2021.108008
- Category
- Publikacja w czasopiśmie
- Type
- artykuły w czasopismach
- Language
- angielski
- Publication year
- 2021