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	<title>Comments on: Protein Structure Prediction using Neural Networks</title>
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	<lastBuildDate>Mon, 21 May 2012 16:33:38 +0500</lastBuildDate>
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		<title>By: Anonymous</title>
		<link>http://paraschopra.com/blog/biology/protein-structure-prediction-using-neural-networks.htm/comment-page-1#comment-23</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Mon, 20 Feb 2006 08:43:38 +0000</pubDate>
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		<description>Hey,
I am currently looking into several machine learning techniques for protein structure prediction. I have coded the program in Python and am training it. But, the problem is that Python is really really slow. 

I have 220 inputs and around 18000 samples (testing and training).. It just crawls under this.. 

However, for other ML techniques, I plan to use ready-to-use software such as Weka or Yale.. Another option is using Orange library for Python.. But again, Python is damn slow.

My inspiration: Well, when I checked on the internet about currently used ANNs for prediction, I was fascinated by their real world applications.. I wondered if these black-boxes can really learn anything about protein structure.. Hence, I tried to code a neural network for myself..</description>
		<content:encoded><![CDATA[<p>Hey,<br />
I am currently looking into several machine learning techniques for protein structure prediction. I have coded the program in Python and am training it. But, the problem is that Python is really really slow. </p>
<p>I have 220 inputs and around 18000 samples (testing and training).. It just crawls under this.. </p>
<p>However, for other ML techniques, I plan to use ready-to-use software such as Weka or Yale.. Another option is using Orange library for Python.. But again, Python is damn slow.</p>
<p>My inspiration: Well, when I checked on the internet about currently used ANNs for prediction, I was fascinated by their real world applications.. I wondered if these black-boxes can really learn anything about protein structure.. Hence, I tried to code a neural network for myself..</p>
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