activity
20132026
most citedOn the application of Good-Turing statistics to quantify convergence of biomolecular simulations

25 citations · 38 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.QM2026

Quantifying the uncertainty of molecular dynamics simulations : Good-Turing statistics revisited

Vasiliki Tsampazi, Nicholas M. Glykos

We have previously shown that Good-Turing statistics can be applied to molecular dynamics trajectories to estimate the probability of observing completely new (thus far unobserved)…

q-bio.BM2025

Atomic Density Distributions in Proteins: Structural and Functional Implications

Sotirios Touliopoulos, Nicholas M. Glykos

Atomic packing is an important metric for characterizing protein structures, as it significantly influences various features including the stability, the rate of evolution and the…

q-bio.BM2024★ 1 cited

The curious case of A31P, a topology-switching mutant of the Repressor of Primer protein : A molecular dynamics study of its folding and misfolding

Olympia-Dialekti Vouzina, Alexandros Tafanidis, Nicholas M. Glykos

The effect of mutations on protein structures is usually rather localized and minor. Finding a mutation that can single-handedly change the fold and/or topology of a protein struct…

q-bio.BM2022★ 1 cited

Folding Molecular Dynamics Simulations of the Transmembrane Peptides of Influenza A, B M2, and MERS-, SARS-CoV E Viral Proteins

Antonios Kolocouris, Isaiah Arkin, Nicholas M. Glykos

Viroporins are small viral proteins that oligomerize in the membrane of host cells and induce the formation of hydrophilic pores in these membranes, thus altering the physiological…

q-bio.BM2021★ 2 cited

Folding molecular dynamics simulation of T-peptide, a HIV viral entry inhibitor : Structure, dynamics, and comparison with the experimental data

Ioanna Gkogka, Nicholas M. Glykos

Peptide T is a synthetic octapeptide fragment, which corresponds to the region 185-192 of the gp120 HIV coat protein and functions as a viral entry inhibitor. In this work, a foldi…

q-bio.BM2020★ 4 cited

On the propensity of Asn-Gly-containing heptapeptides to form -turn structures : comparison between ab initio quantum mechanical calculations and Molecular Dynamics simulations

Dimitrios A. Mitsikas, Nicholas M. Glykos

Both molecular mechanical and quantum mechanical calculations play an important role in describing the behavior and structure of molecules. In this work, we compare for the same pe…

q-bio.BM2015★ 5 cited

Clustering of molecular dynamics trajectories via peak-picking in multidimensional PCA-derived distributions

Athanasios S. Baltzis, Panagiotis I. Koukos, Nicholas M. Glykos

We describe a robust, fast, and memory-efficient procedure that can cluster millions of structures derived from molecular dynamics simulations. The essence of the method is based o…

q-bio.QM2013★ 25 cited

On the application of Good-Turing statistics to quantify convergence of biomolecular simulations

Panagiotis I. Koukos, Nicholas M. Glykos

Quantifying convergence and sufficient sampling of macromolecular molecular dynamics simulations is more often than not a source of controversy (and of various ad hoc solutions) in…