Protein secondary structure prediction by using deep learning method
نویسندگان
چکیده
منابع مشابه
Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields
Protein secondary structure (SS) prediction is important for studying protein structure and function. When only the sequence (profile) information is used as input feature, currently the best predictors can obtain ~80% Q3 accuracy, which has not been improved in the past decade. Here we present DeepCNF (Deep Convolutional Neural Fields) for protein SS prediction. DeepCNF is a Deep Learning exte...
متن کاملProtein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches
DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...
متن کاملPrediction of Protein Secondary Structure Using Nonlinear Method
This paper presents the use of neural networks for the prediction of protein Secondary Structure. We propose a pre-processing stage based on the method of Cascaded Nonlinear Components Analysis (CNLPCA), in order to get a dimensional reduction of the data which may consider its nonlinearity. Then, the reduced data are placed in predictor networks and its results are combined. For the verificati...
متن کاملProtein secondary structure prediction using logic-based machine learning.
Many attempts have been made to solve the problem of predicting protein secondary structure from the primary sequence but the best performance results are still disappointing. In this paper, the use of a machine learning algorithm which allows relational descriptions is shown to lead to improved performance. The Inductive Logic Programming computer program, Golem, was applied to learning second...
متن کاملLearning Deep Architectures for Protein Structure Prediction
Protein structure prediction is an important and fundamental problem for which machine learning techniques have been widely used in bioinformatics and computational biology. Recently, deep learning has emerged as a new active area of research in machine learning, showing great success in diverse areas of signal and information processing studies. In this article, we provide a brief review on re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2017
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2016.11.015