Author
M. Smerlak
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
Click to filter · or open tagActivity by Year
2019-2024 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 12 mutual co-author links7 papers
Recent·Most cited
Quasi-species evolution maximizes genotypic reproductive value (not fitness or flatness)
The paper introduces genotypic reproductive value as a framework to predict evolutionary trajectories in quasi-species dynamics, showing it outperforms traditional fitness and flatness measures.
bioRxiv · Feb 23, 2021Evolutionary Biology
Why are viral genomes so fragile? The bottleneck hypothesis
N. S. C. Merleau, S. Penisson, P. J. Gerrish, S. F. Elena, M. Smerlak
The paper provides theoretical evidence that viral genome fragility evolves due to population bottlenecks, showing it can increase survival through bottlenecks and attack rates in certain conditions.
bioRxiv · Jan 23, 2021Evolutionary Biology
Localization of neutral evolution: selection for mutational robustnessand the maximal entropy random walk
The paper shows that clonal interference of neutral variants limits evolvability by restricting access to neutral ridges, and connects evolutionary dynamics to a maximal-entropy random walk.
bioRxiv · Jan 28, 2020Evolutionary Biology
Effective potential reveals evolutionary trajectories in complex fitness landscapes
This paper introduces a generalized quasispecies theory to predict evolutionary trajectories by identifying metastable states as minima of an effective potential, applicable across mutation rates.
bioRxiv · Dec 10, 2019 · PreprintEvolutionary Biology
Parameters and determinants of responses to selection in antibody libraries
S. Schulz, S. Boyer, M. Smerlak, S. Cocco, R. Monasson, C. Nizak, O. Rivoire
The paper quantifies how scaffold evolutionary maturation affects antibody library response to selection, finding maturated scaffolds show lower response to arbitrary targets.
bioRxiv · Jul 23, 2019Biophysics