Gauge field, strings, solitons, anomalies and the speed of life

TL;DR

This paper integrates mathematical physics and biology to model protein folding using gauge invariance, solitons, and anomalies, achieving near-atomic accuracy and real-time simulation on standard computers.

Contribution

It introduces a novel synthesis of gauge theory and soliton concepts to describe protein structures and folding dynamics with unprecedented precision.

Findings

Crystallographic protein structures modeled by multi-solitons

Simulated protein folding at in vivo speed with pico-scale accuracy

Identified solitons as fundamental units in protein folding

Abstract

It's been said that "mathematics is biology's next microscope, only better; biology is mathematics' next physics, only better". Here we aim for something even better. We try to combine mathematical physics and biology into a picoscope of life. For this we merge techniques which have been introduced and developed in modern mathematical physics, largely by Ludvig Faddeev to describe objects such as solitons and Higgs and to explain phenomena such as anomalies in gauge fields. We propose a synthesis that can help to resolve the protein folding problem, one of the most important conundrums in all of science. We apply the concept of gauge invariance to scrutinize the extrinsic geometry of strings in three dimensional space. We evoke general principles of symmetry in combination with Wilsonian universality and derive an essentially unique Landau-Ginzburg energy that describes the dynamics of a generic string-like configuration in the far infrared. We observe that the energy supports topological solitons, that pertain to an anomaly in the manner how a string is framed around its inflection points. We explain how the solitons operate as modular building blocks from which folded proteins are composed. We describe crystallographic protein structures by multi-solitons with experimental precision, and investigate the non-equilibrium dynamics of proteins under varying temperature. We simulate the folding process of a protein at in vivo speed and with close to pico-scale accuracy using a standard laptop computer: With pico-biology as mathematical physics' next pursuit, things can only get better.