chemistry

Johann Gasteiger

Johann Gasteiger is a chemistry 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 Johann Gasteiger rather than just read about it. In short: Johann Gasteiger (27 October 1941 in Dachau) is a German Chemist and a Chemoinformatician on which he wrote and edited various books. Life Johann Gasteiger studied Chemistry at LMU Munich, ETH Zurich and University of Zurich.

Key takeaways

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

Reference excerpt

Johann Gasteiger (27 October 1941 in Dachau) is a German Chemist and a Chemoinformatician on which he wrote and edited various books.

Life Johann Gasteiger studied Chemistry at LMU Munich, ETH Zurich and University of Zurich. He obtained his PhD in Organic Chemistry at LMU Munich in 1971 with Professor Rolf Huisgen. After Postdoc at the University of California, Berkeley until 1972, he was an assistant professor at Technical University of Munich and received his Habilitation in 1979 under the mentorship of Professor Ivar Ugi. From 1994 until 2007 he was a professor at University of Erlangen–Nuremberg in the "Computer-Chemie-Centrum", which he cofounded. In 1997, Johann Gasteiger founded the company Molecular Networks, which distributes software developed at the Computer-Chemie-Centrum. Johann Gasteiger is one of the pioneers of Cheminformatics. His main research interest is the development of software for drug design (for example via QSAR, the simulation of chemical reactions, for synthesis planning in organic chemistry, machine learning for spectroscopy, and the application of neural networks and genetic algorithms in chemistry.

Career In 1979, Johann Gasteiger and Mario Marsili published a method for the iterative calculation of atomic partial charges in molecules. This work is his most-cited publication. Between 1987 and 1991 Johann Gasteiger was a project manager for the development of the ChemInform RX database. Since 1985, the 3D structure generator CORINA is developed in his group. Johann Gasteiger has pioneered the use of neural networks in chemistry. It is mainly his contribution that neural networks are one of standard methods in Cheminformatics today.

Awards 1991 Gmelin-Beilstein Denkmünze of the Society of German Chemists for contributions to Computational Chemistry 1997 Herman Skolnik Award of the Division of Chemical Information of the American Chemical Society 2005 Mike Lynch Award of the Chemical Structure Association 2006 ACS Award for Computers in Chemical and Pharmaceutical Research 2006 The 2nd German Conference on Chemoinformatics (also the 20th CIC-Workshop of the Fachgruppe Chemie-Information-Computer of the GDCh) was dedicated to Johann Gasteiger.

References

External links website at University of Erlangen–Nuremberg website of Molecular Networks GmbH Johann Gasteiger publications indexed by Google Scholar

Illustrations

Worked examples

Example 1 — a first encounter with Johann Gasteiger

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

In research: Johann Gasteiger appears in chemistry 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 Johann Gasteiger 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: Johann Gasteiger is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1941 births, 20th-century German chemists, 21st-century German chemists, so understanding it makes those chapters shorter.
In everyday life: Look for Johann Gasteiger 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 Johann Gasteiger in 20 minutes

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

Frequently asked questions

What is Johann Gasteiger in simple terms?

Johann Gasteiger (27 October 1941 in Dachau) is a German Chemist and a Chemoinformatician on which he wrote and edited various books. Life Johann Gasteiger studied Chemistry at LMU Munich, ETH Zurich and University of Zurich.

Why does Johann Gasteiger matter?

Because it connects several chemistry 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 Johann Gasteiger?

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 Johann Gasteiger.