astronomy

Nurcan Tunçbağ

Nurcan Tunçbağ is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Nurcan Tunçbağ rather than just read about it. In short: Nurcan Tunçbağ is a Professor of Chemical and Biological Engineering at Koç University. She works on computational models of complex biological systems.

Key takeaways

Nurcan Tunçbağ belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Nurcan Tunçbağ to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Nurcan Tunçbağ from memory before moving on to harder problems.

Reference excerpt

Nurcan Tunçbağ is a Professor of Chemical and Biological Engineering at Koç University. She works on computational models of complex biological systems. Tunçbağ is a 2019 L'Oréal-UNESCO For Women in Science International Rising Talent.

Early life and education Tunçbağ studied chemical engineering at Istanbul Technical University. She joined Koç University for her graduate studies, earning a master's degree in computational science and engineering in 2007. She remained there for her doctoral studies, studying protein interactions and their incorporation into protein interaction networks. She worked under the supervision of Özlem Keskin and Attila Gürsoy. In 2010, Tunçbağ joined Massachusetts Institute of Technology as a postdoctoral associate with Ernest Fraenkel. In 2014, Tunçbağ joined the Middle East Technical University Informatics Institute. She is the PI of the Network Modeling Lab at Koç University.

Research Tunçbağ works on computational models of complex biological systems. She was in the developer team of the PRISM (protein interactions by structural matching) algorithm that can be used to predict protein–protein interactions and assembly. PRISM can be used to construct cellular pathways and proteome annotation. The algorithm can be used to identify 'hot spot' protein binding regions, which can be used to target drugs. Regulatory and signalling networks are essential for cellular function, but omic data is often of poor quality. Tunçbağ has demonstrated how this data can be analysed using a prize collecting Steiner tree, analysing changes in networks during disease. She can incorporate pharmaceutical and biological agents into her algorithm to help inform future therapeutics. With Fraenkel, Tunçbağ created SteinerNet, a web server that allowed the integration of omic data. Users provide information about proteins and genes that have been experimentally detected, and the server looks for connections in the data using a series of interactomes. She was also in the developer team of Omics Integrator software that integrates multi-omic data to reconstruct signaling networks. Tunçbağ looks to identify how the genome is altered during disease. One of the diseases considered by Tunçbağ is Glioblastoma, a particularly malignant brain tumour. Tunçbağ developed a network model that can be used to identify tumour pathway-level changes. She has also worked on neurodegenerative diseases including Parkinson's disease. She was made an associate professor in 2017.

Awards and honours 2015: Science Academy Young Scientist Award 2017: METU Parlar Foundation Science Award 2017: L'Oréal-UNESCO For Women in Science Award 2018: TÜBA-GEBİP Award 2019: L'Oréal-UNESCO For Women in Science International Rising Talent 2020: Election to the Global Young Academy

References

Worked examples

Example 1 — a first encounter with Nurcan Tunçbağ

Start with the simplest possible case. Write down what Nurcan Tunçbağ claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Nurcan Tunçbağ before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Nurcan Tunçbağ ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Nurcan Tunçbağ

In research: Nurcan Tunçbağ appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Nurcan Tunçbağ in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Nurcan Tunçbağ is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century Turkish mathematicians, Academic staff of Middle East Technical University, Bioinformaticians, so understanding it makes those chapters shorter.
In everyday life: Look for Nurcan Tunçbağ outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Nurcan Tunçbağ in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Nurcan Tunçbağ means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Nurcan Tunçbağ out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Nurcan Tunçbağ in simple terms?

Nurcan Tunçbağ is a Professor of Chemical and Biological Engineering at Koç University. She works on computational models of complex biological systems.

Why does Nurcan Tunçbağ matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Nurcan Tunçbağ?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Nurcan Tunçbağ.