Peter Honigschmid
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Explore the profile of Peter Honigschmid including associated specialties, affiliations and a list of published articles.
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9
Citations
828
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Recent Articles
1.
Honigschmid P, Breimann S, Weigl M, Frishman D
BMC Bioinformatics
. 2020 Jun;
21(1):242.
PMID: 32532211
Background: This study is motivated by the following three considerations: a) the physico-chemical properties of transmembrane (TM) proteins are distinctly different from those of globular proteins, necessitating the development of...
2.
Zeng B, Honigschmid P, Frishman D
J Struct Biol
. 2019 Mar;
206(2):156-169.
PMID: 30836197
Many integral membrane proteins, just like their globular counterparts, form either transient or permanent multi-subunit complexes to fulfill specific cellular roles. Although numerous interactions between these proteins have been experientially...
3.
Honigschmid P, Bykova N, Schneider R, Ivankov D, Frishman D
Genome Biol Evol
. 2018 Apr;
10(3):928-938.
PMID: 29608732
Can orthologous proteins differ in terms of their ability to be secreted? To answer this question, we investigated the distribution of signal peptides within the orthologous groups of Enterobacterales. Parsimony...
4.
Kulandaisamy A, Priya S, Sakthivel R, Tarnovskaya S, Bizin I, Honigschmid P, et al.
Bioinformatics
. 2018 Feb;
34(13):2325-2326.
PMID: 29401218
Motivation: Existing sources of experimental mutation data do not consider the structural environment of amino acid substitutions and distinguish between soluble and membrane proteins. They also suffer from a number...
5.
Honigschmid P, Frishman D
J Struct Biol
. 2016 Feb;
194(1):112-23.
PMID: 26851352
Accurate prediction of intra-molecular interactions from amino acid sequence is an important pre-requisite for obtaining high-quality protein models. Over the recent years, remarkable progress in this area has been achieved...
6.
PredictProtein--an open resource for online prediction of protein structural and functional features
Yachdav G, Kloppmann E, Kajan L, Hecht M, Goldberg T, Hamp T, et al.
Nucleic Acids Res
. 2014 May;
42(Web Server issue):W337-43.
PMID: 24799431
PredictProtein is a meta-service for sequence analysis that has been predicting structural and functional features of proteins since 1992. Queried with a protein sequence it returns: multiple sequence alignments, predicted...
7.
Ivankov D, Bogatyreva N, Honigschmid P, Dislich B, Hogl S, Kuhn P, et al.
Nucleic Acids Res
. 2013 Jun;
41(Web Server issue):W459-64.
PMID: 23729472
Regulated intramembrane proteolysis (RIP) is a critical mechanism for intercellular communication and regulates the function of membrane proteins through sequential proteolysis. RIP typically starts with ectodomain shedding of membrane proteins...
8.
Hamp T, Kassner R, Seemayer S, Vicedo E, Schaefer C, Achten D, et al.
BMC Bioinformatics
. 2013 Mar;
14 Suppl 3:S7.
PMID: 23514582
Background: Any method that de novo predicts protein function should do better than random. More challenging, it also ought to outperform simple homology-based inference. Methods: Here, we describe a few...
9.
Radivojac P, Clark W, Ronnen Oron T, Schnoes A, Wittkop T, Sokolov A, et al.
Nat Methods
. 2013 Jan;
10(3):221-7.
PMID: 23353650
Automated annotation of protein function is challenging. As the number of sequenced genomes rapidly grows, the overwhelming majority of protein products can only be annotated computationally. If computational predictions are...