activity
20172021
collaborators

9 papers

q-bio.PE2021

Sex as information processing: optimality and evolution

Anton S Zadorin, Olivier Rivoire

The long-term growth rate of populations in varying environments quantifies the evolutionary value of processing the information that biological individuals inherit from their ance…

math.NA2020

A fast iterative algorithm for near-diagonal eigenvalue problems

Maseim Kenmoe, Ronald Kriemann, Matteo Smerlak +1

We introduce a novel eigenvalue algorithm for near-diagonal matrices inspired by Rayleigh-Schrödinger perturbation theory and termed Iterative Perturbative Theory (IPT). Contrary t…

math-ph2020

Dynamical perturbation theory for eigenvalue problems

Maseim Kenmoe, Matteo Smerlak, Anton Zadorin

Many problems in physics, chemistry and other fields are perturbative in nature, i.e. differ only slightly from related problems with known solutions. Prominent among these is the…

math.DS2019

Exact travelling solution for a reaction-diffusion system with a piecewise constant production supported by a codimension-1 subspace

Anton S. Zadorin

A generalisation of reaction diffusion systems and their travelling solutions to cases when the productive part of the reaction happens only on a surface in space or on a line on p…

q-bio.BM2019

Allostery and conformational changes upon binding as generic features of proteins: a high-dimension geometrical approach

Anton S. Zadorin

A growing number of experimental evidence shows that it is general for a ligand binding protein to have a potential for allosteric regulation and for further evolution. In addition…

q-bio.PE2018

Quantifying the performance of high-throughput directed evolution protocols

Adèle Dramé-Maigné, Anton Zadorin, Iaroslava Golovkova +1

Most protocols for the high-throughput directed evolution of enzymes rely on random encapsulation to link phenotype and genotype. In order to optimize these approaches, or compare…