Results 81 to 90 of about 11,591,695 (294)
In recent years, obtaining RNA secondary structure information has played an important role in RNA and gene function research. Although some RNA secondary structures can be gained experimentally, in most cases, efficient, and accurate computational ...
Hao Zhang +6 more
doaj +1 more source
Smaller is better: nanobodies meet NMR
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source
An evolutionary method for learning HMM structure: prediction of protein secondary structure
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
Combining Deep Neural Networks for Protein Secondary Structure Prediction
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
Study of RNA Secondary Structure Prediction Algorithms
RNA secondary structure study is one of the most important fields in computational molecular biology. According to different conditions, RNA secondary structure prediction derives two ways.
Ying Sun, Sheng Hua Ye, Hong Wei Lu
core +1 more source
Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics [PDF]
Reeder J, Giegerich R. Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics. BMC Bioinformatics. 2004;5(1): 104.Background: The general problem of RNA secondary structure prediction under the widely ...
Reeder Jens +5 more
core +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Potato virus A coat protein secondary structure prediction.
Potato virus A coat protein secondary structure prediction.
Lilian Järvekülg (294005) +8 more
core +1 more source
JPred:a consensus secondary structure prediction server [PDF]
UNLABELLED: An interactive protein secondary structure prediction Internet server is presented. The server allows a single sequence or multiple alignment to be submitted, and returns predictions from six secondary structure prediction algorithms that ...
Barton, G J; id_orcid +9 more
core +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source

