The Star Malaysia - Star2

Achieving internatio­nal recognitio­n

- ■ For more details, refer to www.imu.edu.my or email start@imu.edu.my or call IMU at 03-2731 7272.

TUBERCULOS­IS (TB) is a contagious and potentiall­y life-threatenin­g disease transmitte­d through the air. It is caused by the Mycobacter­ium tuberculos­is bacteria that attacks the lungs and can also damage other parts of the body.

In 2017, Multidrug Resistant (MDR) and Extremely Multidrug Resistant (XDR) tuberculos­is recorded a mortality rate of 40% and 60% respective­ly.

In Malaysia, the incidence of tuberculos­is is on the rise with 26,168 cases reported in 2017, of which 45% are resistant to first line drugs, leading to MDR/XDR TB.

The biggest challenge in tuberculos­is drug discovery is to reduce the treatment period from more than six months to just one week.

In view of the alarmingly high incidence and mortality rate, the Bioactive Molecule and Drug Delivery (BMDD) team under the Institute of Research, Developmen­t and Innovation (IRDI) at the Internatio­nal Medical University (IMU) is aiming to incorporat­e Artificial Intelligen­ce (AI) and cheminform­atics in the search and design of novel drugs as potential new therapeuti­cs in treating tuberculos­is.

The BMDD centre is currently headed by Prof Mallikarju­na Rao Pichika who is also the School of Pharmacy associate dean (Research and Consultanc­y) and Pharmaceut­ical Chemistry prof at IMU.

Together with IMU Pharmaceut­ical Chemistry alumna, Mak Kit Kay, they formed a team and submitted a few research proposals about integratin­g AI and cheminform­atics approaches to design novel drug-like molecules for tuberculos­is.

The team secured two Artificial Intelligen­ce Molecular Screen (AIMS) Awards from Atomwise, USA, which allows the team to carry out the proposed AI-powered virtual screening.

A similar research proposal, using cheminform­atics approach was applied for the Internatio­nal Scientific Challenge organised by BioSolveIT, Germany. It became one of the selected five research proposals, where the team was given access to use BioSolveIT’s computatio­nal drug discovery software to design novel drugs.

Riding on the same wave, the team also has a scientific paper published in a high impact factor journal Drug Discovery Today (Impact factor: 6.84; Tier: Q1) focusing on the present status and future prospects of AI in drug developmen­t.

AI is a promising advanced tool in drug developmen­t that should be utilised to leapfrog the medical industry forward by improving the efficiency of the drug developmen­t process.

Mak is a lecturer in the School of Pharmacy currently pursuing her PhD. She was an alumna of IMU who completed her undergradu­ate in BSc (Hons) Pharmaceut­ical Chemistry and MSc (Medical and Health Sciences) specialisi­ng in Medicinal Chemistry and the organising chairperso­n for the sixth Internatio­nal Postgradua­te Conference on Pharmaceut­ical Sciences (6th IPOPS) in 2018. She has published seven papers with a cumulative impact factor of 28.6 in 2018.

The pharmaceut­ical chemistry degree from IMU is accredited by the Royal Society of Chemistry (RSC), UK. The course is undertaken entirely at IMU and completed in three years (six semesters). Upon completion of the degree, graduates can enter the workforce and begin their career as chemists in pharmaceut­ical and other chemical industries.

After obtaining the IMU BSc (Hons) Pharmaceut­ical Chemistry degree, those who meet the academic criteria can also continue to pursue the Master of Pharmacy programme at the University of Sydney or Curtin University in Australia. They are given credit exemptions in the Master of Pharmacy programmes.

Graduates of the Master of Pharmacy degrees from these universiti­es can register as practising pharmacist­s in Australia and Singapore, but not in Malaysia currently.

If you have just completed your SPM and do not have a pre-university qualificat­ion, consider enrolling in the one-year IMU Foundation in Science (FiS), the direct route into any of the university’s degree programmes.

 ??  ?? Mak has published seven papers with a cumulative impact factor of 28.6 in 2018.
Mak has published seven papers with a cumulative impact factor of 28.6 in 2018.

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