New Multiscale Tools for Protein Physics: Thermal Protein Dynamics in Signalling and Allostery.

Lead Research Organisation: Durham University
Department Name: Chemistry

Abstract

Proteins are natures molecular machines. Built out of an alphabet of only 24 small molecules joined into long chains, in folded-form they constitute the structures, scaffolds, signalling pathways, transport systems, motors and cargo transporters of the tissues and cells of all living things. Since their exquisitely evolved and precise structures have been elucidated through X-ray scattering, the emphasis has been on understanding how these structures lead to function (such as binding to specific small molecules at special pockets and clefts). More recently however, it has become clear that the constant dynamical excitations of proteins, a natural consequence of a finite-temperature environment, also play a vital role in function. Data from careful thermal analysis, and also from magnetic resonance measurements, have shown how binding events at proteins can change the nature of their internal ceaseless wobbling considerably. Furthermore, recent work by the applicants has shown how mathematical and physical models of proteins can analyse these motions and identify how their changes are used to generate vital signals within protein networks. These control all aspects of cell function, so understanding them is very important in biology.The goal of this project is to build on the initial foundations of coarse-grained protein modelling and link the global models of entire protein molecules to their atomistic structure in a predictive way. The physicists and chemists will work with biologists in validating these new tools on a series of model protein systems. By making tiny changes in the proteins ( mutations ), predictions of the models can be tested by experiments. A particular goal is to use the technique to design a new protein with entirely new allostetric properties that have been engineered into the protein on the basis of the course-grained model. This will demonstrate a potential route to commercialisation of the science in biotechnology.At the end of the project, a systematic analytical tool for global protein dynamics will be available to the community, both academic and industrial.

Planned Impact

This multi-disciplinary project will produce high quality results in the areas of mathematical and physical modelling, protein molecular biology, and structural biology and will be of interest to the whole spectrum of natural science. Results will be published wherever possible in high quality peer-reviewed journals, disseminated through presentations at conferences, and via a lab web-site. Our work will be of interest to the biotechnology industry. The most immediate application with the potential for wealth creation is in the design of metabolite sensitive proteins whose regulatory properties can be manipulated to improve the yield of industrially important bacterial products. The applicants have close links through the Biophysical Sciences Institute (BSI) at Durham (established in 2007 with the aim of developing research combining all the physical sciences to help solve challenges within the life sciences). All of the applicants have an excellent track record in interdisciplinary research and are frequently invited to speak at international conferences. This proposal will therefore have academic impact in many scientific fields. It is anticipated that this work will challenge other researchers to explore opportunities for applying their particular skills to biological issues. The BSI is developing a UK network of contacts with complementary groups (UCL, Leeds, Nottingham, Edinburgh, Dundee and Glasgow) and this project will contribute to an increasingly co-ordinated UK effort in Biological Physics. In a wider international context, the project represents a major UK contribution to the growing field of functional protein dynamics. The work will stimulate collaborations with, and promote advances in research groups in several related areas e.g. NMR techniques, complementary modelling, and neutron scattering. A principal impact of the project will therefore be the collaborative engagement with a wider community of biological and biotechnological scientists, who will use and develop our tools and methodology across a wide range of protein science into the industrial arena. Beyond the academic community the team has a strong record in the broader dissemination of science and the protection of any intellectual property that might be developed. The University's Technology Transfer Office will protect any novel results with potential commercial impact. The impact areas here could be very broad. The team have previously had collaborations with large industrial organisations and Durham University is an academic member of the UK Polymer IRC, an organization of 4 academic and over 20 industrial partners that holds a regular series of Knowledge Transfer activities. Through their network of contacts the results will thus be presented to members of the industrial community to help explore areas of application that are at present not well known. During the project we will also arrange at least one multidisciplinary international meeting dedicated to the subject of protein dynamics from theoretical, experimental and biological perspectives with the aim of stimulating further discussion and research in the area. The project will also play a significant role in helping to train the next generation of researchers with inter-disciplinary skills capable of working at the crucial life-science interface. The researchers in the project will be exposed to a unique combination of mathematical theory and physical and biological experimentation. They will thus learn the language and method of working within both disciplines. Being able to explain complex concepts from your own specialist field to those of another scientific discipline is of growing importance and this project will provide an excellent route to learning these skills for the researchers involved.

Publications

10 25 50
 
Description We have found that protein molecules, the molecular scaffolding, machines and signal-carriers of life, are able to pass signals across and through them using the random fluctuations in their structure caused by heat as an information carrying channel. We have developed a predictive computational tool that analysis proteins for this property, and predicts changes to the signalling when mutations are made to the protein structure. This approach was successfully tested on the CAP protein, found in bacteria, and the too released for used worldwide. The tool has now been used to scan a number of proteins for possible modifications that would allow control of their functions through the way that they move.
Exploitation Route Other groups are already using our modelling tool to identify allosteric residues and pathways using fluctuation modes of proteins.
We are exploring the application to drug design with partners at EPBL and the pharmaceutical industry.
Sectors Pharmaceuticals and Medical Biotechnology

URL https://www.dur.ac.uk/bsi/research/biosoftmatter/multiscale_tools/
 
Description We know of three research groups elsewhere in the world who have downloaded our protein dynamics modelling software, and used it to design their own experiments. In addition the idea of using it for drug design is under discussion with specific partners in the pharmaceutical industry.
First Year Of Impact 2015
Sector Pharmaceuticals and Medical Biotechnology
Impact Types Economic

 
Description Computational Evolution of Allosteric Proteins
Amount £2,000 (GBP)
Organisation Ogden Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 07/2015 
End 08/2015
 
Description Physics of Life - Noise, Information and Evolution in Protein Binding
Amount £1,412,260 (GBP)
Funding ID EP/N031431/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 02/2017 
End 01/2022
 
Description Collaboration with EMBL Hinxton on Allosteric Drugs 
Organisation EMBL European Bioinformatics Institute (EMBL - EBI)
Country United Kingdom 
Sector Academic/University 
PI Contribution Worked through protein structures suggested by the database our partners gave to us
Collaborator Contribution Supply of database of proteins with substrates that might be candidates for allosteric binding without structural change
Impact There have been funding applications to EPSRC (Fellowship) and BBSRC (to be submitted) using input from this funding.
Start Year 2015
 
Title DeltaDeltaPT Toolbox 
Description Software embeds our method for predicting entropic allostery in proteins by building and analysing Elastic Network Models of their structure as posted on the PDB. 
Type Of Technology Software 
Year Produced 2013 
Open Source License? Yes  
Impact Several users globally have now reported on research results, including us, using the software 
URL http://www.webcitation.org/query.php?url=https://sourceforge.net/projects/durham-ddpt/&refdoi=10.118...