Pregled bibliografske jedinice broj: 1261326
Enhanced sampling of nucleobase assemblies in water: extracting structural motifs from simulations
Enhanced sampling of nucleobase assemblies in water: extracting structural motifs from simulations // PSI-K 2022 abstracts book
Lausanne, Švicarska, 2022. str. 95-95 (poster, nije recenziran, sažetak, znanstveni)
CROSBI ID: 1261326 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Enhanced sampling of nucleobase assemblies in
water: extracting structural motifs from
simulations
Autori
Ostojic, Tea ; Gunde, Miha ; Grisanti, Luca
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
PSI-K 2022 abstracts book
/ - , 2022, 95-95
Skup
Psi-k 2022 conference
Mjesto i datum
Lausanne, Švicarska, 22.08.2022. - 25.08.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
nucleobase assemblies ; structural motifs ; molecular dynamics
Sažetak
The properties of systems like aggregates in solutions are controlled by interactions between the molecular units. In this work we have focused on nucleobase assemblies in water. Nucleobases and their specific base pairing is the paradigm of molecular recognition in nature. For computational prediction of the structure of molecular assemblies enhanced sampling techniques are ideally requested. In this work we explore the formation of N-mer nucleobase assemblies (N = 2 – 8) with classical potentials, combined with well- tempered metadynamics. The AMBER99 RNA force field was parameterized in order to avoid overestimation of stacking interaction. We have employed both a) a combination of 2 collective variables defined as contact numbers for pi-stacking and Watson-Crick hydrogen bonding interactions b) a newly developed descriptor based on distance and orientation of molecular pairs. Finally, on the smallest assemblies, we plan to benchmark the results with QM/MM calculations in order to validate the method.
Izvorni jezik
Engleski
Znanstvena područja
Kemija
POVEZANOST RADA
Projekti:
--IP-2020-02-7262 - Hibridno modeliranje pobuđenih stanja u novim molekularnim materijalima: od optičkih svojstava do dinamike ekscitona (HYMO4EXNOMOMA) (Grisanti, Luca; Prlj, Antonio) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb