Predicting protein secondary structure based on ensemble Neural Network
ITEGAM-JETIA, 2021 Protein structure prediction is very vital to innovative process of discovering new medications based on the knowledge of a biological target. It is also useful for scientifically exposing the biological basis of convoluted diseases and drug effects ...
Emmanuel Gbenga Dada +3 more
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Multiple structural alignment for distantly related all b structures using TOPS pattern discovery and simulated annealing [PDF]
, 2003 Topsalign is a method that will structurally align diverse protein structures, for example, structural alignment of protein superfolds. All proteins within a superfold share the same fold but often have very low sequence identity and different biological
Gilbert, D, Westhead, DR, Williams, A
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Sample Reduction Strategies for Protein Secondary Structure Prediction
Applied Sciences, 2019 Predicting the secondary structure from protein sequence plays a crucial role in estimating the 3D structure, which has applications in drug design and in understanding the function of proteins. As new genes and proteins are discovered, the large size of
Sema Atasever +3 more
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Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction [PDF]
, 2008 This paper presents a Grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise Grid technology.
Buyya, Rajkumar +3 more
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Cryo-EM map interpretation and protein model-building using iterative map segmentation. [PDF]
, 2020 A procedure for building protein chains into maps produced by single-particle electron cryo-microscopy (cryo-EM) is described. The procedure is similar to the way an experienced structural biologist might analyze a map, focusing first on secondary ...
Afonine PV +9 more
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Bayesian Segmentation of Protein Secondary Structure [PDF]
Journal of Computational Biology, 2000 We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local window of residues, sliding this window along the length of the sequence. In contrast, we develop a probabilistic model of protein sequence/structure relationships in terms of ...
S C, Schmidler, J S, Liu, D L, Brutlag
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3-State Protein Secondary Structure Prediction based on SCOPe Classes
Brazilian Archives of Biology and Technology, 2021 Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in hierarchical modeling but also enhances sequence analysis and ...
Sema Atasever +3 more
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Prediction of protein secondary structure content [PDF]
Protein Engineering, Design and Selection, 1999 All existing algorithms for predicting the content of protein secondary structure elements have been based on the conventional amino-acid-composition, where no sequence coupling effects are taken into account. In this article, an algorithm was developed for predicting the content of protein secondary structure elements that was based on a new amino ...
W, Liu, K C, Chou
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Conservation of structure and mechanism in primary and secondary transporters exemplified by SiaP, a sialic acid binding virulence factor from Haemophilus influenzae [PDF]
, 2006 Extracytoplasmic solute receptors (ESRs) are important components of solute uptake systems in bacteria, having been studied extensively as parts of ATP binding cassette transporters.
Kelly, D.J. +7 more
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PCI-SS: MISO dynamic nonlinear protein secondary structure prediction
BMC Bioinformatics, 2009 Background Since the function of a protein is largely dictated by its three dimensional configuration, determining a protein's structure is of fundamental importance to biology.
Aboul-Magd Mohammed O +2 more
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