Secondary structure determines protein topology [PDF]
Protein Science, 2006 AbstractUsing a test set of 13 small, compact proteins, we demonstrate that a remarkably simple protocol can capture native topology from secondary structure information alone, in the absence of long‐range interactions. It has been a long‐standing open question whether such information is sufficient to determine a protein's fold.
Patrick J, Fleming +2 more
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Comparative visualization of protein secondary structures [PDF]
BMC Bioinformatics, 2017 Protein function is determined by many factors, namely by its constitution, spatial arrangement, and dynamic behavior. Studying these factors helps the biochemists and biologists to better understand the protein behavior and to design proteins with modified properties.
Kocincova, Lucia +5 more
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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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Discovering the Ultimate Limits of Protein Secondary Structure Prediction
Biomolecules, 2021 Secondary structure prediction (SSP) of proteins is an important structural biology technique with many applications. There have been ~300 algorithms published in the past seven decades with fierce competition in accuracy.
Chia-Tzu Ho +4 more
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A convenient protein library for spectroscopic calibrations
Computational and Structural Biotechnology Journal, 2020 While several Raman, CD or FTIR spectral libraries are available for well-characterized proteins of known structure, proteins themselves are usually very difficult to acquire, preventing a convenient calibration of new instruments and new recording ...
Joëlle De Meutter, Erik Goormaghtigh
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Protein secondary structure prediction (PSSP) using different machine algorithms
Egyptian Journal of Medical Human Genetics, 2021 Background The computational biology approach has advanced exponentially in protein secondary structure prediction (PSSP), which is vital for the pharmaceutical industry.
Heba M. Afify +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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Molecular cloning and analysis of Myc modulator 1 (Mm-1) from Bufo gargarizans (Amphibia: Anura)
Zoologia (Curitiba), 2010 The protein of Myc modulator 1 (Mm-1) has been reported to repress the transcriptional activity of the proto-oncogene c-Myc in humans. Moreover, it was shown to be the subunit 5 of human prefoldin (PFD).
Ning Wang +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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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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