Results 61 to 70 of about 9,562,225 (293)

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

RNA secondary structure prediction with convolutional neural networks

BMC Bioinformatics, 2022
Background Predicting the secondary, i.e. base-pairing structure of a folded RNA strand is an important problem in synthetic and computational biology.
Mehdi Saman Booy, Alexander Ilin, Pekka Orponen   +2 more
doaj   +1 more source

Versatile and declarative dynamic programming using pair algebras [PDF]

, 2005
Steffen P, Giegerich R. Versatile and declarative dynamic programming using pair algebras. BMC Bioinformatics. 2005;6(1): 224.Background: Dynamic programming is a widely used programming technique in bioinformatics. In sharp contrast to the simplicity of
Peter Steffen, Steffen Peter, Robert Giegerich, Giegerich, Robert, Giegerich Robert, Steffen, Peter   +5 more
core   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy

FEBS Letters, EarlyView.
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

Facilitating RNA Structure Prediction with Microarrays [PDF]

Biochemistry, 2005
Determining RNA secondary structure is important for understanding structure-function relationships and identifying potential drug targets. This paper reports the use of microarrays with heptamer 2'-O-methyl oligoribonucleotides to probe the secondary structure of an RNA and thereby improve the prediction of that secondary structure.
Elzbieta, Kierzek, Ryszard, Kierzek, Douglas H, Turner, Irina E, Catrina   +3 more
openaire   +2 more sources

Comparing the paths of Hedgehog release in artificial and natural settings

FEBS Letters, EarlyView.
Hh morphogens require solubilization factors to overcome their tight association with the plasma membrane and signal to distant cells, but the precise functions of these factors are controversial. Here, we use published in vivo observations as the most relevant evidence to test their suggested functions and discuss contradictions and gaps between in ...
Janna Puschmann, Kay Grobe
wiley   +1 more source

RNA 3D structure prediction guided by independent folding of homologous sequences

BMC Bioinformatics, 2019
Background The understanding of the importance of RNA has dramatically changed over recent years. As in the case of proteins, the function of an RNA molecule is encoded in its tertiary structure, which in turn is determined by the molecule’s sequence ...
Marcin Magnus, Kalli Kappel, Rhiju Das, Janusz M. Bujnicki   +3 more
doaj   +1 more source

RNA-SSPT: RNA Secondary Structure Prediction Tools [PDF]

Bioinformation, 2013
The prediction of RNA structure is useful for understanding evolution for both in silico and in vitro studies. Physical methods like NMR studies to predict RNA secondary structure are expensive and difficult. Computational RNA secondary structure prediction is easier. Comparative sequence analysis provides the best solution.
Ahmad, Freed, Mahboob, Shahid, Gulzar, Tahsin, din, Salah U, Hanif, Tanzeela, Ahmad, Hifza, Afzal, Muhammad   +6 more
openaire   +2 more sources