biology

Stefan Schuster

Stefan Schuster is a biology 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 Stefan Schuster rather than just read about it. In short: Stefan Schuster (born 7 November 1961 in Meissen) is a German biophysicist. He is professor for bioinformatics at the University of Jena.

Key takeaways

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

Reference excerpt

Stefan Schuster (born 7 November 1961 in Meissen) is a German biophysicist. He is professor for bioinformatics at the University of Jena.

Life Stefan Schuster studied biophysics at the Humboldt University Berlin and wrote his PhD thesis under the supervision of Prof. Reinhart Heinrich at the Department of Theoretical Biophysics at Humboldt University, Berlin (Title: "Theoretical studies on the interrelation between time hierarchy in enzymatic reaction systems and optimization principles"). In 2003 he got a professorship at the Department of Bioinformatics at the Friedrich Schiller University, Jena. Stefan Schuster is one of the spokesmen of the Jena Centre for Bioinformatics (JCB). Stefan Schuster is currently editor of the Elsevier journal BioSystems. His younger brother is the stage director Robert Schuster.

Research The research by Stefan Schuster comprises a wide range of topics in bioinformatics and systems biology. These include, among others:

Evolutionary game theory Metabolic control analysis Biochemical oscillations Metabolic pathway analysis Stefan Schuster has significantly contributed to the development of elementary mode analysis. That method has amply been used ever since for determining metabolic pathways and diverse applications in biotechnology such as calculating optimal molar yields. Schuster and his coworkers used the method, for example, for analyzing penicillin production and NAD+ metabolism as well as for predicting the viability of Escherichia coli mutants. He contributed to the development of software for metabolic pathway analysis. An application of intense biochemical interest is the question whether humans and other higher animals could convert fatty acids into sugar. While biochemical textbook knowledge says that this would be infeasible, in silico analyses by Christoph Kaleta, Stefan Schuster and coworkers showed that there are, in principle, several entangled routes on which gluconeogenesis from fatty acid is feasible. This theoretical prediction found considerable attention in online articles. Research on metabolic pathways includes flux balance analysis, which is used, for example, for explaining the Warburg effect. The book of Reinhard Heinrich and Stefan Schuster "The Regulation of Cellular Systems" was reviewed by Athel Cornish-Bowden. He wrote: "For general readers, it would be a major advance if books like this one could help to overthrow the ideas of rate-limiting steps that have bedevilled the biochemical conception of metabolism for so long, preventing biotechnology from realizing many of the objectives that were promised when genetic engineering first became possible. For specialists already concerned with the kinetic behaviour of multi-enzyme systems, this is a book they need to have".

References

External links Homepage Department of Bioinformatics

Illustrations

Worked examples

Example 1 — a first encounter with Stefan Schuster

Start with the simplest possible case. Write down what Stefan Schuster claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Stefan Schuster 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 Stefan Schuster 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 Stefan Schuster

In research: Stefan Schuster appears in biology 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 Stefan Schuster 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: Stefan Schuster is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1961 births, Academic staff of the University of Jena, German academic journal editors, so understanding it makes those chapters shorter.
In everyday life: Look for Stefan Schuster 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 Stefan Schuster in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Stefan Schuster 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 Stefan Schuster out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Stefan Schuster in simple terms?

Stefan Schuster (born 7 November 1961 in Meissen) is a German biophysicist. He is professor for bioinformatics at the University of Jena.

Why does Stefan Schuster matter?

Because it connects several biology 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 Stefan Schuster?

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 Stefan Schuster.