activity
20102019
most citedThe Role of Nucleobase Interactions in RNA Structure and Dynamics

188 citations · 834 across the 13 of their papers we have counts for

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10 papers · 1 filter

q-bio.BM2017★ 43 cited

A nucleobase-centered coarse-grained representation for structure prediction of RNA motifs

Simón Poblete, Sandro Bottaro, Giovanni Bussi

We introduce the SPlit-and-conQueR (SPQR) model, a coarse-grained representation of RNA designed for structure prediction and refinement. In our approach, the representation of a n…

q-bio.BM2016★ 164 cited

Computer Folding of RNA Tetraloops: Identification of Key Force Field Deficiencies

Petra Kührová, Robert B. Best, Sandro Bottaro +4

The computer-aided folding of biomolecules, particularly RNAs, is one of the most difficult challenges in computational structural biology. RNA tetraloops are fundamental RNA motif…

q-bio.BM2016★ 106 cited

Free Energy Landscape of GAGA and UUCG RNA Tetraloops

Sandro Bottaro, Pavel Banáš, Jiri Sponer +1

We report the folding thermodynamics of ccUUCGgg and ccGAGAgg RNA tetraloops using atomistic molecular dynamics simulations. We obtain a previously unreported estimation of the fol…

q-bio.BM2016★ 64 cited

Empirical corrections to the Amber RNA force field with Target Metadynamics

Alejandro Gil-Ley, Sandro Bottaro, Giovanni Bussi

The computational study of conformational transitions in nucleic acids still faces many challenges. For example, in the case of single stranded RNA tetranucleotides, agreement betw…

q-bio.BM2016★ 47 cited

RNA Folding Pathways in Stop Motion

Sandro Bottaro, Alejandro Gil-Ley, Giovanni Bussi

We introduce a method for predicting RNA folding pathways, with an application to the most important RNA tetraloops. The method is based on the idea that ensembles of three-dimensi…

q-bio.BM2015★ 57 cited

Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments

Giovanni Pinamonti, Sandro Bottaro, Cristian Micheletti +1

Elastic network models (ENMs) are valuable and efficient tools for characterizing the collective internal dynamics of proteins based on the knowledge of their native structures. Th…