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A Machine Learning Framework for Protein Interaction Prediction

PGR-P-272

Key facts

Type of research degree
PhD
Application deadline
Ongoing deadline
Country eligibility
International (open to all nationalities, including the UK)
Funding
Non-funded
Supervisors
Dr He Wang
Schools
School of Computing
<h2 class="heading hide-accessible">Summary</h2>

The protein interactions in cells in the human body have a decisive impact on health, performance and disease treatment. Being able to model and predict such interactions will greatly enhance our abilities to improve health, to understand how certain diseases occur and to design new drugs. Whilst in recent years the data about the interactions of proteins with molecules and with other proteins in cells have increased significantly, it remains challenging to study these interactions for a large number of proteins. The PhD project will use machine learning (ML) to model the interactions of proteins with molecules that are found in their environment e.g. lipids. The student will use protein structures from the Protein Data Bank and molecular simulations to identify regions of interactions. Then, ML approaches will be developed to learn the interactions, to identify patterns in such interactions and to provide predictions for the interactions of other proteins. This project aims to combine cutting edge computational methodologies (artificial intelligence/ML and molecular simulations) to improve our ability to predict protein interactions. Given the rapid growth of the data of proteins and their interactions, this research is timely in utilising the cutting-edge AI technologies for a better understanding of protein interactions. The earliest start date for this project is 1 October 2020.

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/info/130206/applying/91/applying_for_research_degrees">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;A Machine Learning Framework for Protein Interaction Prediction&rsquo;&nbsp;as well as&nbsp;<a href="https://engineering.leeds.ac.uk/staff/868/Dr_He_Wang">Dr He Wang</a> as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p><strong>Self-Funding Students</strong></p> <p><strong>Funding Eligibility</strong></p> <p><strong>UK/EU</strong> &ndash;&nbsp;Leeds Doctoral Scholarship Award paying Academic Fees and Maintenance matching EPSRC rate of &pound;15,009 per year for 3 years and Alumni Bursary for previous graduates from the University of Leeds offering 10% discount on Academic Fees</p> <p><strong>International Students</strong> &ndash;&nbsp;China Scholarship Council-University of Leeds Scholarship Award paying Academic Fees for 3 years, Commonwealth Scholarship for Low Income Countries and&nbsp;Alumni Bursary for previous graduates from the University of Leeds offering 10% discount on Academic Fees</p> <p>&nbsp;</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding your application, please contact Doctoral College Admissions by&nbsp;email:&nbsp;<a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a>, or by telephone: +44 (0)113 343 5057.</p> <p>For further information regarding the project, please contact Dr He Wang by email:&nbsp;&nbsp;<a href="mailto:H.E.Wang@leeds.ac.uk">H.E.Wang@leeds.ac.uk</a></p>


<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>