H Hermjakob
Overview
Explore the profile of H Hermjakob including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
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Articles
22
Citations
10982
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Recent Articles
1.
Perfetto L, Pastrello C, Del-Toro N, Duesbury M, Iannuccelli M, Kotlyar M, et al.
Database (Oxford)
. 2020 Nov;
2020.
PMID: 33206959
The current coronavirus disease of 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus (SARS-CoV)-2, has spurred a wave of research of nearly unprecedented scale. Among the different...
2.
Del-Toro N, Duesbury M, Koch M, Perfetto L, Shrivastava A, Ochoa D, et al.
Nat Commun
. 2019 Mar;
10(1):1098.
PMID: 30833551
In the original HTML version of this Article, the order of authors within the author list was incorrect. The IMEx Consortium contributing authors were incorrectly listed as the last author...
3.
Perfetto L, Acencio M, Bradley G, Cesareni G, Del Toro N, Fazekas D, et al.
Bioinformatics
. 2019 Feb;
35(19):3779-3785.
PMID: 30793173
Motivation: Combining multiple layers of information underlying biological complexity into a structured framework represent a challenge in systems biology. A key task is the formalization of such information in models...
4.
Del-Toro N, Duesbury M, Koch M, Perfetto L, Shrivastava A, Ochoa D, et al.
Nat Commun
. 2019 Jan;
10(1):10.
PMID: 30602777
The current wealth of genomic variation data identified at nucleotide level presents the challenge of understanding by which mechanisms amino acid variation affects cellular processes. These effects may manifest as...
5.
Sivade Dumousseau M, Alonso-Lopez D, Ammari M, Bradley G, Campbell N, Ceol A, et al.
BMC Bioinformatics
. 2018 Apr;
19(1):134.
PMID: 29642841
Background: Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is...
6.
Lloret-Villas A, Varusai T, Juty N, Laibe C, Le Novere N, Hermjakob H, et al.
CPT Pharmacometrics Syst Pharmacol
. 2017 Jan;
6(2):73-86.
PMID: 28063254
Neurodegenerative diseases are a heterogeneous group of disorders that are characterized by the progressive dysfunction and loss of neurons. Here, we distil and discuss the current state of modeling in...
7.
Swat M, Moodie S, Wimalaratne S, Kristensen N, Lavielle M, Mari A, et al.
CPT Pharmacometrics Syst Pharmacol
. 2015 Jul;
4(6):316-9.
PMID: 26225259
The lack of a common exchange format for mathematical models in pharmacometrics has been a long-standing problem. Such a format has the potential to increase productivity and analysis quality, simplify...
8.
Juty N, Ali R, Glont M, Keating S, Rodriguez N, Swat M, et al.
CPT Pharmacometrics Syst Pharmacol
. 2015 Jul;
4(2):e3.
PMID: 26225232
BioModels is a reference repository hosting mathematical models that describe the dynamic interactions of biological components at various scales. The resource provides access to over 1,200 models described in literature...
9.
Aranda B, Achuthan P, Alam-Faruque Y, Armean I, Bridge A, Derow C, et al.
Nucleic Acids Res
. 2009 Oct;
38(Database issue):D525-31.
PMID: 19850723
IntAct is an open-source, open data molecular interaction database and toolkit. Data is abstracted from the literature or from direct data depositions by expert curators following a deep annotation model...
10.
Kerrien S, Alam-Faruque Y, Aranda B, Bancarz I, Bridge A, Derow C, et al.
Nucleic Acids Res
. 2006 Dec;
35(Database issue):D561-5.
PMID: 17145710
IntAct is an open source database and software suite for modeling, storing and analyzing molecular interaction data. The data available in the database originates entirely from published literature and is...