Monte Carlo Inverse Folding

05/20/2020
by   Tristan Cazenave, et al.
0

The RNA Inverse Folding problem comes from computational biology. The goal is to find a molecule that has a given folding. It is important for scientific fields such as bioengineering, pharmaceutical research, biochemistry, synthetic biology and RNA nanostructures. Nested Monte Carlo Search has given excellent results for this problem. We propose to adapt and evaluate different Monte Carlo Search algorithms for the RNA Inverse Folding problem.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/04/2022

Refutation of Spectral Graph Theory Conjectures with Monte Carlo Search

We demonstrate how Monte Carlo Search (MCS) algorithms, namely Nested Mo...
research
10/12/2011

Proactive Algorithms for Job Shop Scheduling with Probabilistic Durations

Most classical scheduling formulations assume a fixed and known duration...
research
02/10/2017

Sparse modeling approach to analytical continuation of imaginary-time quantum Monte Carlo data

A new approach of solving the ill-conditioned inverse problem for analyt...
research
08/07/2020

Perfect Reconstruction of Sparse Signals via Greedy Monte-Carlo Search

We propose a Monte-Carlo-based method for reconstructing sparse signals ...
research
11/20/2019

Automatic Differentiable Monte Carlo: Theory and Application

Differentiable programming has emerged as a key programming paradigm emp...
research
05/29/2020

Informed Proposal Monte Carlo

Any search or sampling algorithm for solution of inverse problems needs ...
research
02/23/2023

Challenging the Lévy Flight Foraging Hypothesis -A Joint Monte Carlo and Numerical PDE Approach

For a Lévy process on the flat torus 𝕋^2 with power law jump length dist...

Please sign up or login with your details

Forgot password? Click here to reset