Rubio-Perez C, Deu-Pons J, Tamborero D, Lopez-Bigas N, Gonzalez-Perez A. Rational design of cancer gene panels with OncoPaD.
Genome Med. 2016 Oct 3;8(1):98. doi: 10.1186/s13073-016-0349-1. PMID: 27716338; PMCID: PMC5047348.
ISAMBARD is a Python-based framework for structural analysis and rational design of biomolecules, with a particular focus on parametric modelling of proteins.
P. Sormanni, F. A. Aprile and M. Vendruscolo.
The CamSol method of rational design of protein mutants with enhanced solubility.
J. Mol. Biol. in press. DOI: 10.1016/j.jmb.2014.09.026
Sfold predicts probable RNA secondary structures, assesses target accessibility, and provides tools for the rational design of RNA-targeting nucleic acids.Sfold is based on patent-pending algorithms developed by Ding and Lawrence (2001, 2002, 2003) for RNA folding, prediction of target accessibility, and rational design of RNA-targeting nucleic acids. The RNA folding algorithm generates a statistical sample of secondary structures from the Boltzmann ensemble of RNA secondary structures. From a statistical mechanics perspective, an RNA molecule can have a population of structures distributed according to a Boltzmann distribution, which gives the probability of a secondary structure I at equilibrium as (1/U)exp[-E(I)/RT], where E(I) is the free energy of the structure, R is the gas constant, T is the absolute temperature, and U is the partition function for all admissible secondary structures of the RNA sequence. The algorithm samples secondary structures exactly and rigorously according to the Boltzmann distribution, using recent Turner free energy rules.