Péter Csermely - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. XII. 25.

Personal data

name	Péter Csermely
name of institution	Eötvös Loránd University, Budapest University of Szeged Semmelweis University, Budapest
doctoral school	ELTE Doctoral School of Biology (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. ) SzTE Doctoral School of Computer Science (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. ) SE Doctoral School of University Semmelweis (Core member) SE Doctoral School of Molecular Medicine Council of the Doctoral School
the share of work in the different doctoral schools.	ELTE Doctoral School of Biology 14% SzTE Doctoral School of Computer Science 14% SE Doctoral School of University Semmelweis 71% SE DSMM-SE Council of the Doctoral School 1%
accreditation statement submitted to:	Semmelweis University, Budapest

Contact details
E-mail address	csermely.petermed.semmelweis-univ.hu
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	1988
discipline to which degree belongs	theoretical medicine
institution granting the degree	HAS
scientific degree, title	DSc
year degree was obtained	1994
discipline to which degree belongs	theoretical medicine
institution granting the degree	HAS
scientific degree, title	Corresponding member of Hung. Acad. of Sci.
year degree was obtained	2013
discipline to which degree belongs	biology
institution granting the degree	HAS
scientific degree, title	Member of Hung. Acad. of Sci.
year degree was obtained	2019
discipline to which degree belongs	biology
institution granting the degree	HAS

Employment
1986 -	Semmelweis University, Budapest university professor or researcher

Thesis topic supervisor

number of doctoral students supervised until now

number of students who fulfilled course requirements

students who obtained their degrees:

(50%)	Péter Mendik	PhD	2023	DSMM-SE
(50%)	Bánk Gábor Fenyves	PhD	2021	DSMM-SE
	Dániel Veres	PhD	2018	DSMM-SE
(50%)	Márton Dávid Gyurkó	PhD	2016	DSMM-SE
	Kristóf Zsolt Szalay	PhD	2015	DSMM-SE
	Dénes Türei	PhD	2014	DSMM-SE
(50%)	Máté Szalay-Bekő	PhD	2014	USz-DSB
(50%)	Tamás Korcsmáros	PhD	2011
	Eszter Papp	PhD	2006	DSMM-SE
	Judit Hargitai	PhD	2005
	Subbarao Sreedhar Amere	PhD	2004
	Gábor Nardai	PhD	2003	DSMM-SE
(50%)	Attila Steták	PhD	2002
	Csaba Sőti	PhD	2002	DSMM-SE
	Tamás Schnaider	PhD	2000	DSMM-SE

completed course requirement:

(50%)	Dávid Gyurkó	(PhD)	2013/08	DSMM-SE
	Nina Kunšič	(PhD)	2021/08	DSMM-SE

present PhD students:

(50%)	Klára Schulc	(PhD)	(2025/01)	SEDI (to be translated)
(50%)	Andrea Zsuzsanna Császár	(PhD)	(2024/08)	SEDI (to be translated)
	Borbála Kovács	(PhD)	(2024/08)	SEDI (to be translated)

Thesis topic proposals

Research
research area	Structure and dynamics of networks, adaptation of complex systems, drug design
research field in which current research is conducted	biology theoretical medicine

Publications

2022

Deritei Dávid, Kunšič Nina, Csermely Péter: Probabilistic edge weights fine-tune Boolean network dynamics, PLOS COMPUTATIONAL BIOLOGY 18: (10) e1010536
type of document: Journal paper/Article
language: English
URL

2020

Fenyves Bánk G., Szilágyi Gábor S., Vassy Zsolt, Sőti Csaba, Csermely Peter: Synaptic polarity and sign-balance prediction using gene expression data in the Caenorhabditis elegans chemical synapse neuronal connectome network, PLOS COMPUTATIONAL BIOLOGY 16: (12) e1007974
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL

2020

Csermely P., Kunsic N., Mendik P., Kerestély M., Faragó T., Veres D.V., Tompa P.: Learning of Signaling Networks: Molecular Mechanisms, TRENDS IN BIOCHEMICAL SCIENCES 45: (4) pp. 284-294.
type of document: Journal paper/Review paper
number of independent citations: 20
language: English
URL

2019

Mendik Peter, Dobronyi Levente, Hari Ferenc, Kerepesi Csaba, Maia-Moco Leonardo, Buszlai Donat, Csermely Peter, Veres Daniel V.: Translocatome: a novel resource for the analysis of protein translocation between cellular organelles, NUCLEIC ACIDS RESEARCH 47: (D1) pp. D495-D505.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL

2019

Ágg B, Császár A, Szalay-Bekő M, Veres DV, Mizsei R, Ferdinandy P, Csermely P, Kovács IA: The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein–protein interaction and signalling networks, BIOINFORMATICS 35: (21) pp. 4490-4492.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL

2015

Veres D, Gyurko D, Thaler B, Szalay K, Fazekas D, Korcsmaros T, Csermely P: ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis, NUCLEIC ACIDS RESEARCH 43: (D1) pp. D485-D493.
type of document: Journal paper/Article
number of independent citations: 79
language: English
URL

2013

Csermely P, Korcsmaros T, Kiss HJ, London G, Nussinov R: Structure and dynamics of molecular networks: A novel paradigm of drug discovery. A comprehensive review, PHARMACOLOGY & THERAPEUTICS 138: (3) pp. 333-408.
type of document: Journal paper/Review paper
number of independent citations: 595
language: English
URL

2010

Csermely Péter, Palotai Robin, Ruth Nussinov: Induced fit, conformational selection and independent dynamic segments: an extended view of binding events, TRENDS IN BIOCHEMICAL SCIENCES 35: (10) pp. 539-546.
type of document: Journal paper/Review paper
number of independent citations: 582
language: English
URL

2005

Csermely P, Ágoston V, Pongor S: The efficiency of multi-target drugs: the network approach might help drug design, TRENDS IN PHARMACOLOGICAL SCIENCES 26: (4) pp. 178-182.
type of document: Journal paper/Article
number of independent citations: 689
language: English
URL

1998

Csermely P, Schnaider T, Soti C, Prohaszka Z, Nardai G: The 90-kDa molecular chaperone family: structure, function, and clinical applications. A comprehensive review, PHARMACOLOGY & THERAPEUTICS 79: (2) pp. 129-168.
type of document: Journal paper/Review paper
number of independent citations: 1010
language: English
URL

Number of independent citations to these publications:

3001

Scientometric data

Saját közlemény- és idézőlista

list of publications and citations

number of scientific publications that meet accreditation criteria:

322

number of scientific publications:

329

monographs and professional books:

monographs/books in which chapters/sections were contributed:

art/engineering creative works:

scientific publications published abroad that meet the accreditation criteria:

260

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

13663

further relevant information regarding accreditation (in Hungarian)

-- establishment of several Hungarian talent support movements and development of a nationwide talent support network involving now more than 200,000 people in Hungary and the neighboring countries since 1996 -- establishment of the European Talent Support Network as the president of the European Council of High Ability since 2012 -- assembly of a white paper on Hungarian education as the member of the Wise Persons Council of the President of Hungary (2010)