Protein Purification for iPhone

Protein Purification for iPhone
Developer: Simon Booth
Category: Education
300 installs
6.00 ratings
28 monthly active users
Revenue not available
Install Trends
Weekly +17
Steady
Monthly +51
Steady

Protein Purification for iPhone Summary

Protein Purification for iPhone is a mobile iOS app in Education by Simon Booth. Released in Sep 2012 (13 years ago). It has 6.00 ratings with a 4.50★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 28 monthly active users . Store metadata: updated Nov 12, 2014.

Store info: Last updated on App Store on Nov 12, 2014 .


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Screenshots

App screenshot
App screenshot
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App Description

Lectures and textbooks can cover the theoretical aspects of protein purification and laboratory classes can teach the practical techniques, but there are other topics which are difficult to learn by conventional methods. In order to purify any protein you need to know which separation techniques are likely to be most effective under the circumstances and, probably more important, which techniques are not. This knowledge cannot be picked up by following a fixed recipe for a class practical. It requires some thought and usually comes with experience, generally during postgraduate research.

This is the iPhone version of the award-winning program that has been widely used in schools, colleges and universities since 1983. Protein Purification's associated tutorial aims to guide you through a simulation of some of the more commonly-used protein separation techniques and to let you experiment with the simulation. It starts off by letting you examine how a simple mixture of proteins behaves during gel filtration and ion-exchange chromatography and then goes on to allow the design and testing of full purification protocols using more complex mixtures of proteins.

It is assumed that you are familiar with the theoretical background to the most common separation techniques, enzyme assays etc. and that you understand the concept of the isoelectric point of proteins. The app will model failure as accurately as success - so be careful!