Andreas A Albrecht
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Explore the profile of Andreas A Albrecht including associated specialties, affiliations and a list of published articles.
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7
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13
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Recent Articles
1.
Day L, Abdelhadi Ep Souki O, Albrecht A, Steinhofel K
Adv Bioinformatics
. 2016 Apr;
2016:9654921.
PMID: 27110241
Identifying sets of metastable conformations is a major research topic in RNA energy landscape analysis, and recently several methods have been proposed for finding local minima in landscapes spawned by...
2.
A new heuristic method for approximating the number of local minima in partial RNA energy landscapes
Albrecht A, Day L, Abdelhadi Ep Souki O, Steinhofel K
Comput Biol Chem
. 2015 Dec;
60:43-52.
PMID: 26657221
The analysis of energy landscapes plays an important role in mathematical modelling, simulation and optimisation. Among the main features of interest are the number and distribution of local minima within...
3.
Lai H, Albrecht A, Steinhofel K
BMC Genomics
. 2015 Dec;
16:1041.
PMID: 26647162
Background: Gene expression profiling using high-throughput screening (HTS) technologies allows clinical researchers to find prognosis gene signatures that could better discriminate between different phenotypes and serve as potential biological markers...
4.
Maher B, Albrecht A, Loomes M, Yang X, Steinhofel K
Biomolecules
. 2014 Jun;
4(1):56-75.
PMID: 24970205
We introduce a Firefly-inspired algorithmic approach for protein structure prediction over two different lattice models in three-dimensional space. In particular, we consider three-dimensional cubic and three-dimensional face-centred-cubic (FCC) lattices. The...
5.
Day L, Abdelhadi Ep Souki O, Albrecht A, Steinhofel K
Bioinformatics
. 2013 Dec;
30(3):343-52.
PMID: 24292936
Motivation: We study microRNA (miRNA) bindings to metastable RNA secondary structures close to minimum free energy conformations in the context of single nucleotide polymorphisms (SNPs) and messenger RNA (mRNA) concentration...
6.
Dayem Ullah A, Sahoo S, Steinhofel K, Albrecht A
Int J Bioinform Res Appl
. 2012 Sep;
8(3-4):171-91.
PMID: 22961450
In the present study, we define derivative scoring functions from PITA and STarMir predictions. The scoring functions are evaluated for up to five selected miRNAs with a relatively large number...
7.
Sahoo S, Albrecht A
Comput Biol Chem
. 2010 Nov;
34(5-6):284-92.
PMID: 21035401
Over the past ten years, a variety of microRNA target prediction methods has been developed, and many of the methods are constantly improved and adapted to recent insights into miRNA-mRNA...