Results 31 to 40 of about 11,591,695 (294)

Sequence Versus Composition: What Prescribes IDP Biophysical Properties?

open access: yesEntropy, 2019
Intrinsically disordered proteins (IDPs) represent a distinct class of proteins and are distinguished from globular proteins by conformational plasticity, high evolvability and a broad functional repertoire.
Jiří Vymětal   +2 more
doaj   +1 more source

An Algorithm for Template-Based Prediction of Secondary Structures of Individual RNA Sequences

open access: yesFrontiers in Genetics, 2017
While understanding the structure of RNA molecules is vital for deciphering their functions, determining RNA structures experimentally is exceptionally hard.
Josef Pánek   +2 more
doaj   +1 more source

Predicting Continuous Local Structure and the Effect of Its Substitution for Secondary Structure in Fragment-Free Protein Structure Prediction [PDF]

open access: yes, 2009
SummaryLocal structures predicted from protein sequences are used extensively in every aspect of modeling and prediction of protein structure and function.
Faraggi, Eshel   +3 more
core   +1 more source

Evaluation of in silico protein secondary structure prediction methods by employing statistical techniques

open access: yesBiomedical and Biotechnology Research Journal, 2017
Background: With the advent of many new advanced techniques, sequences of a number of proteins have been made available. But the relative paucity of the experimentally determined three-dimensional structures of these proteins has paved way for the ...
Kandavelmani Angamuthu   +1 more
doaj   +1 more source

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning [PDF]

open access: yes, 2019
The majority of our human genome transcribes into noncoding RNAs with unknown structures and functions. Obtaining functional clues for noncoding RNAs requires accurate base-pairing or secondary-structure prediction.
Zhou, Yaoqi   +3 more
core   +1 more source

Protein secondary structure prediction methods based on RBF neural networks

open access: yes, 2004
To solve the complicated non-linear mode-sorting problem of protein secondary structure prediction, the chapter proposed a new method based on radial basis function neural networks and learning from evolution.
Jing N, Zhou CG, Xia B, Wang Y
core   +2 more sources

A Simple Comparison between Specific Protein Secondary Structure Prediction Tools

open access: yesTropical Agricultural Research, 2012
A comparative evaluation of five widely used protein secondary structure prediction programs available in World Wide Web was carried out. Secondary structure data of ten proteins containing 190 secondary structure motifs were collected from Protein Data ...
TJ Koswatta   +2 more
doaj   +1 more source

Secondary structure prediction of TMEM98.

open access: yes, 2020
Secondary structure prediction of TMEM98.
Tanne van der Wal (8339001)   +2 more
core   +1 more source

RNAstructure: software for RNA secondary structure prediction and analysis

open access: yesBMC Bioinformatics, 2010
Background To understand an RNA sequence's mechanism of action, the structure must be known. Furthermore, target RNA structure is an important consideration in the design of small interfering RNAs and antisense DNA oligonucleotides.
Mathews David H, Reuter Jessica S
doaj   +1 more source

Sample Reduction Strategies for Protein Secondary Structure Prediction

open access: yesApplied 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
doaj   +1 more source

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