Várnai, Csilla, Burkoff, Nikolas S. and Wild, David L. (2017) Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs. PLoS One, 12 (2). e0169356.

Burkoff, Nikolas S., Baldock, Robert J.N., Várnai, Csilla, Wild, David L. and Csanyi, Gabor (2016) Exploiting molecular dynamics in Nested Sampling simulations of small peptides. Computer Physics Communications, 201 . pp. 8-18. doi:10.1016/j.cpc.2015.12.005

Burkoff, Nikolas S. (2014) Statistical approaches to the study of protein folding and energetics. PhD thesis, University of Warwick.

Burkoff, Nikolas S., Várnai, Csilla and Wild, David L. (2013) Predicting protein : sheet contacts using a maximum entropy-based correlated mutation measure. Bioinformatics, Volume 29 (Number 5). pp. 580-587. doi:10.1093/bioinformatics/btt005

Várnai, Csilla, Burkoff, Nikolas S. and Wild, David L. (2013) Efficient parameter estimation of generalizable coarse-grained protein force fields using contrastive civergence : a maximum likelihood approach. Journal of Chemical Theory and Computation, Volume 9 (Number 12). pp. 5718-5733. doi:10.1021/ct400628h

Burkoff, Nikolas S., Várnai, Csilla, Wells, Stephen A. and Wild, David L. (2012) Exploring the energy landscapes of protein folding simulations with Bayesian computation. Biophysical Journal, Vol.102 (No.4). pp. 878-886. doi:10.1016/j.bpj.2011.12.053