Results 61 to 70 of about 2,642,890 (372)
Analytical Chemistry, 2020 Obtaining protein secondary structure content from high-resolution structures requires definitions and thresholds for the various parameters involved, typically hydrogen bond energy or length/angle and backbone φ/ψ angles.
J. De Meutter, E. Goormaghtigh
semanticscholar +1 more source
Why Do Proteins Look Like Proteins?
, 1996 Protein structures in nature often exhibit a high degree of regularity (secondary structures, tertiary symmetries, etc.) absent in random compact conformations.
Helling, Robert +3 more
core +1 more source
DichroMatch: a website for similarity searching of circular dichroism spectra [PDF]
, 2012 Circular dichroism (CD) spectroscopy is a widely used method for examining the structure, folding and conformational changes of proteins. A new online CD analysis server (DichroMatch) has been developed for identifying proteins with similar spectral ...
Abdul-Gader +20 more
core +1 more source
Protein-RNA interactions: a structural analysis [PDF]
, 2001 A detailed computational analysis of 32 protein-RNA complexes is presented. A number of physical and chemical properties of the intermolecular interfaces are calculated and compared with those observed in protein-double-stranded DNA and protein-single ...
Berman, HM +4 more
core +2 more sources
An evolutionary method for learning HMM structure: prediction of protein secondary structure
BMC Bioinformatics, 2007 Background The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this ...
Won Kyoung-Jae +3 more
doaj +1 more source
Improving protein fold recognition using the amalgamation of evolutionary-based and structural-based information [PDF]
, 2014 Deciphering three dimensional structure of a protein sequence is a challenging task in biological science. Protein fold recognition and protein secondary structure prediction are transitional steps in identifying the three dimensional structure of a ...
Dehzangi, A. +3 more
core +1 more source
Combining Deep Neural Networks for Protein Secondary Structure Prediction
IEEE Access, 2020 By combining convolutional neural networks (CNN) and long short term memory networks (LSTM) into the learning structure, this paper presents a supervised learning method called combining deep neural networks (CDNN) for protein secondary structure ...
Shusen Zhou +4 more
doaj +1 more source
Protein Secondary Structure Prediction
International Journal of Innovative Technology and Exploring Engineering, 2019 Proteins are made up of basic units called amino acids which are held together by bonds namely hydrogen and ionic bond. The way in which the amino acids are sequenced has been categorized into two dimensional and three dimensional structures. The main advantage of predicting secondary structure is to produce tertiary structure likelihoods that are in ...
Priyanka B V +5 more
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Protein secondary structure prediction in different structural classes [PDF]
Protein Engineering Design and Selection, 1998 Information about the secondary structure of a protein can be helpful in understanding its native folded state. In previous work, it was shown that the medium-range interactions predominate in all-alpha class and the long-range interactions predominate in all-beta class proteins.
M M, Gromiha, S, Selvaraj
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The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source