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31 August 2021 | Story Leonie Bolleurs | Photo Supplied
UFS scientists involved in revolutionary protein structure prediction
Left: Dr Ana Ebrecht, a former postdoctoral student of the UFS, was part of the team that validated the data for the Science paper. Right: Prof Dirk Opperman was involved in a revolutionary finding in biology, which predicts the structure of a protein. His work in collaboration with other scientists has been published in Science.

Prof Dirk Opperman, Associate Professor in the Department of Microbiology and Biochemistry at the University of the Free State (UFS), in collaboration with Dr Ana Ebrecht (a former postdoc in the same department) and Prof Albie van Dijk from the Department of Biochemistry at the North-West University (NWU), was part of an international collaboration of researchers who participated in solving an intricate problem in science – accurate protein structure prediction.

The team of researchers recently contributed to an influential paper describing new methods in protein structure prediction using machine learning. The paper was published in the prestigious scientific journal, Science.

“These new prediction methods can be a game changer,” believes Prof Opperman.

“As some proteins simply do not crystalise, this could be the closest we get to a three-dimensional view of the protein. Accurate enough prediction of proteins, each with its own unique three-dimensional shape, can also be used in molecular replacement (MR) instead of laborious techniques such as incorporating heavy metals into the protein structure or replacing sulphur atoms with selenium,” he says.

Having insight into the three-dimensional structure of a protein has the potential to enable more advanced drug discovery, and subsequently, managing diseases.

Exploring several avenues …

According to Prof Opperman, protein structure prediction has been available for many years in the form of traditional homological modelling; however, there was a big possibility of erroneous prediction, especially if no closely related protein structures are known.

Besides limited complementary techniques such as nuclear magnetic resonance (NMR) and electron microscopy (Cryo-EM), he explains that the only way around this is to experimentally determine the structure of the protein through crystallisation and X-ray diffraction. “But it is a quite laborious and long technique,” he says.

Prof Opperman adds that with X-ray diffraction, one also has to deal with what is known in X-ray crystallography as the ‘phase problem’ – solving the protein structure even after you have crystallised the protein and obtained good X-ray diffraction data, as some information is lost.

He states that the phase problem can be overcome if another similar-looking protein has already been determined.

This indeed proved to be a major stumbling block in the determination of bovine glycine N-acyltransferase (GLYAT), a protein crystallised in Prof Opperman’s research group by Dr Ebrecht, currently a postdoc in Prof Van Dijk’s group at the NWU, as no close structural homologous proteins were available.

“The collaboration with Prof Opperman’s research group has allowed us to continue with this research that has been on hold for almost 16 years,” says Prof Van Dijk, who believes the UFS has the resources and facilities for structural research that not many universities in Africa can account for.

The research was conducted under the Synchrotron Techniques for African Research and Technology (START) initiative, funded by the Global Challenges Research Fund (GCRF). After a year and multiple data collections at a specialised facility, Diamond Light Source (synchrotron) in the United Kingdom, the team was still unable to solve the structure.

Dr Carmien Tolmie, a colleague from the UFS Department of Microbiology and Biochemistry, also organised a Collaborative Computational Project Number 4 (CCP4) workshop, attended by several well-known experts in the field. Still, the experts who usually participate in helping students and researchers in structural biology to solve the most complex cases, were stumped by this problem.

Working with artificial intelligence

“We ultimately decided to turn to a technique called sulphur single-wavelength anomalous dispersion (S-SAD), only available at specialised beam-lines at synchrotrons, to solve the phase problem, says Prof Opperman.

Meanwhile, Prof Randy Read from the University of Cambridge, who lectured at the workshop hosted by Dr Tolmie, was aware of the difficulties in solving the GLYAT structure. He also knew of the Baker Lab at the University of Washington, which is working on a new way to predict protein structures; they developed RoseTTAaFold to predict the folding of proteins by only using the amino acid sequence as starting point.

RoseTTAaFold, inspired by AlphaFold 2, the programme of DeepMind (a company that develops general-purpose artificial intelligence (AGI) technology), uses deep learning artificial intelligence (AI) to generate the ‘most-likely’ model. “This turned out to be a win-win situation, as they could accurately enough predict the protein structure for the UFS, and the UFS in turn could validate their predictions,” explains Prof Opperman.

A few days after the predictions from the Baker Lab, the S-SAD experiments at Diamond Light Source confirmed the solution to the problem when they came up with the same answer.

Stunning results in a short time

“Although Baker’s group based their development on the DeepMind programme, the way the software works is not completely the same,” says Dr Ebrecht. “In fact, AlphaFold 2 has a slightly better prediction accuracy. Both, however, came with stunningly good results in an incredibly short time (a few minutes to a few hours),” she says.

Both codes are now freely available, which will accelerate improvements in the field even more. Any researcher can now use that code to develop new software. In addition, RoseTTAFold is offered on a platform accessible to any researcher, even if they lack knowledge in coding and AI.

News Archive

New SRC elected on UFS main campus
2006-08-23

 Ms Loraine Kriek, third-year student in B Consumer Sciences, was elected as SRC President of the Main Campus of the University of the Free State (UFS) for 2006/2007.  Ms Kriek was a member of the Student Parliament in 2005/2006.

 The most students in the history of the UFS – 6 353 in total – voted in this year’s election.  There were only 44 spoiled votes.  Last year 4 846 students voted.

 “Other than last year, minor incidences of vandalism occurred on the Main Campus by students who were unhappy with the outcome,” said Dr Natie Luyt, Dean:  Student Affairs at the UFS.  According to Dr Luyt minor damage was caused to the Thakaneng Bridge and some other buildings on the Main Campus.  

 Kovsie Alliance obtained no proportional representation on the SRC, SASCO obtain 3 seats and the FF+Kovsies obtained 6 seats.  

 This representation gave Kovsie Alliance 1 seat, SASCO 14 seats and the FF+Kovsies 25 seats in the Student Parliament, which consists of 40 seats.

 Nine of the 18 SRC members were directly elected and nine on the basis of proportional representation (PR).   The PR system was introduced after amendments to the constitution of the Main Campus SRC were approved by the UFS Council in June 2005. 

According to Dr Luyt elections on the Vista Campus will take place today (Wednesday 23 August 2006) and Thursday 24 August 2006.  The results will be announced on Friday 25 August 2006.  The SRC of the Qwaqwa Campus will be elected on Friday 25 August 2006.  If there are no objections to the final results, it will be announced that same day.

The Central SRC, made up of representatives of the 3 campus SRCs, will be announced towards the end of September 2006.

Media release
Issued by: Lacea Loader
Media Representative
Tel:  (051) 401-2584
Cell:  083 645 2454
E-mail:  loaderl.stg@mail.uovs.ac.za 
23 August 2006

 

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