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PSIPRED

PSIPRED (Psi-blast based secondary structure prediction) is a technique used to investigate protein structure. PSIPRED employs neural network… 
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Related topics

Related topics

14 relations
Artificial neural networkBLASTBioinformaticsDe novo protein structure prediction

Broader (1)

Neural network software

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Amino Acids Sequence Based in Silico Analysis of RuBisCO (Ribulose-1,5 Bisphosphate Carboxylase Oxygenase) Proteins in Some Carthamus L. ssp.
RuBisCO is an important enzyme for plants to photosynthesize and balance carbon dioxide in the atmosphere. This study aimed to… 
2016
2016
Acylpeptidyl Oligopeptidase: Porphyromonas Gingivalis Periplasmic Novel Exopeptidase Releases N-acylated Di-and Tri-peptides from Oligopeptides* Were Used as Expression Vectors. Restriction Enzymes…
Exopeptidases including dipeptidyland tripeptidyl-peptidase are crucial for the growth of Porphyromonas gingivalis, a… 
2015
2015
Exploring the Interaction of SV 2 A with Racetams Using Homology Modelling , Molecular Dynamics and Site-Directed Mutagenesis
The putative Major Facilitator Superfamily (MFS) transporter, SV2A, is the target for levetiracetam (LEV), which is a successful… 
2015
2015
Mutual Information-Based Cliques of Amino Acids in the Zaire Ebola Virus-Makona Glycoprotein
The Zaire Ebola virus Makona variant (ZEBOV-Makona) is the cause of the 2014-2015 high-mortality epidemic of Ebola virus disease… 
2015
2015
HOMOLOGY MODELING AND DOCKING STUDIES OF JAPANESE ENCEPHALITIS VIRUS PROTEINS LIKE ENVELOPE PROTEIN AND NS1 PROTEIN
Japanese Encephalitis (JE) is a vector- borne, viral zoonosis that may affect humans. The disease periodically becomes endemic in… 
2013
2013
Applications of evolutionary SVM to prediction of membrane alpha-helices
2013
2013
Expressando Atributos Não-Funcionais em Workflows Científicos
In this paper we present OSC, a scientific workflow specification language based on software architecture principles. In contrast… 
2012
2012
18 Neural Networks in Bioinformatics
Over the last two decades, neural networks (NNs) gradually became one of the indispensable tools in bioinformatics. This was… 
2009
2009
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction
2006
2006
Information on the secondary structure improves the quality of protein sequence alignment
The most popular algorithms employed in the pairwise alignment of protein primary structures (Smith-Watermann (SW) algorithm… 
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