Articles with "predicting rna" as a keyword



Photo from wikipedia

Modeling and Predicting RNA Three-Dimensional Structures.

Sign Up to like & get
recommendations!
Published in 2021 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-1307-8_2

Abstract: Modeling the three-dimensional structure of RNAs is a milestone toward better understanding and prediction of nucleic acids molecular functions. Physics-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To… read more here.

Keywords: three dimensional; modeling predicting; rna three; structure ... See more keywords
Photo from wikipedia

Predicting RNA Secondary Structure Using In Vitro and In Vivo Data.

Sign Up to like & get
recommendations!
Published in 2022 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-1851-6_2

Abstract: The new flow of high-throughput RNA secondary structure data coming from different techniques allowed the further development of machine learning approaches. We developed CROSS and CROSSalive, two algorithms trained on experimental data able to predict… read more here.

Keywords: rna secondary; predicting rna; secondary structure; vitro vivo ... See more keywords
Photo from wikipedia

Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions

Sign Up to like & get
recommendations!
Published in 2022 at "BioMed Research International"

DOI: 10.1155/2022/4035462

Abstract: Methylation is one of the most common and considerable modifications in biological systems mediated by multiple enzymes. Recent studies have shown that methylation has been widely identified in different RNA molecules. RNA methylation modifications have… read more here.

Keywords: methylation; rna methylcytosine; methylcytosine sites; predicting rna ... See more keywords
Photo from wikipedia

Predicting RNA secondary structure by a neural network: what features may be learned?

Sign Up to like & get
recommendations!
Published in 2022 at "PeerJ"

DOI: 10.7717/peerj.14335

Abstract: Deep learning is a class of machine learning techniques capable of creating internal representation of data without explicit preprogramming. Hence, in addition to practical applications, it is of interest to analyze what features of biological… read more here.

Keywords: neural network; predicting rna; may learned; structure ... See more keywords