Copyright © Wei MEI, MLMS™—all rights reserved. 🀤
A simple neural network training algorithm for accurate protein secondary structure prediction (PSSpred) !
PSSpred (Protein Secondary Structure prediction) is a simple neural network training algorithm for accurate protein secondary structure prediction. It first collects multiple sequence alignments using PSI-BLAST. Amino-acid frequence and log-odds data with Henikoff weights are then used to train secondary structure, separately, based on the Rumelhart error backpropagation method. The final secondary structure prediction result is a combination of 7 neural network predictors from different profile data and parameters. The program is freely downloadable on this page.
We have a community chat at Gitter. Feel free to ask us anything there. We have a very welcoming and helpful community.
The aim of this plant design project is to provide critical insights into and recommendations of the available synthetic routes to styrene along with market, feedstock, economic, and sustainability analyses of the venture. This has culminated in a preliminary overview of the plant design and operation in the area of Ordos, China, produced for our clients at Bentham Corporation.
As a trans-national chemical contracting company operating in a complex and ever-changing world, GSM chemical co. is committed to adhering to the highest of global standards of performance ethical corporate conduct.
For more details, please visit the documentation.
This repository is used to give readers some videos of Python. You can find the latest documentation here and try to run your first code on python online.
These threes series on Channel 9 and YouTube are designed to help get you up to speed on Python. If you're a beginning developer looking to add Python to your quiver of languages, or trying to get started on a data science or web project which uses Python, these videos are here to help show you the foundations necessary to walk through a tutorial or other quick start.
We do assume you are familiar with another programming language, and some core programming concepts. For example, we highlight the syntax for boolean expressions and creating classes, but we don't dig into what a boolean is or object oriented design. We show you how to perform the tasks you're familiar with in other languages in Python.