Previous Page  20 / 26 Next Page
Information
Show Menu
Previous Page 20 / 26 Next Page
Page Background

allied

academies

Journal of Biotechnology and Phytochemistry

Volume 1 Issue 3

Chemistry World 2017

Page 72

November 13-15, 2017 Athens, Greece

7

th

World Congress on

Chemistry

The transition path time distribution - protein

folding, quantum mechanics, tunneling times

and uncertainty

Eli Pollak

Weizmann Institute of Science, Israel

Recent experimental measurements of the transition path time

distributions of proteins present theory with challenges. They

lead to barrier heights which are much lower than the free

energies of activation of the observed transitions. Secondly,

can one use the transition path time distribution to obtain

insight into some of the intriguing questions of quantum

mechanics, such as how long does it take to tunnel? In this talk,

I introduce the paradigm of a transition path barrier height

for the protein folding problem, and show that it should be

smaller than the activation energy, resolving the low barrier

height puzzle. The transition path distribution for a parabolic

barrier is derived for arbitrary memory friction. In the second

phase of this talk, the quantum mechanical transition path

time probability distribution will be discussed. Standard

approaches to tunneling times are replaced by considering

time correlation functions. The formalism is used to study the

quantum dynamics of thermal position correlation functions.

Highlights are the proof of a vanishing mean tunneling

time at the parabolic barrier crossover temperature and that

increasing the length of the path traversed decreases the

mean transition time. The mean transition path time is used

to define a coarse-grained momentum for passage from one

side of the barrier to the other. The product of the uncertainty

in this momentum with the uncertainty in the location of the

particle is shown under certain conditions to be smaller than

the ħ/2 formal uncertainty limit.

Eli.pollak@weizmann.ac.il

J Biotech and Phyto 2017