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István Reményi

dblp:157/4303 · DBLP profile ↗
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3ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0003-4670-2406ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
protein interaction database
0.312017
MFIB: a repository of protein complexes with mutual folding induced by binding · Bioinform. 2017
Bioinformatics and computational biology
protein structure analysis
0.312017
MFIB: a repository of protein complexes with mutual folding induced by binding · Bioinform. 2017

Methods — techniques the papers use, named apart from their topics

hierarchical classification · 0.3
YearPublicationVenuePosition
2025 Temporal Interpolation of Variable-Sized LIDAR Point Clouds
István Reményi, Zoltán Kárász, János Botzheim
ICCCI (2)1
2024 Weak Supervised Asphalt Pavement Segmentation
István Reményi, Zoltán Kárász, János Botzheim
ICCCI (2)1
2017 MFIB: a repository of protein complexes with mutual folding induced by binding
abstract
MOTIVATION: It is commonplace that intrinsically disordered proteins (IDPs) are involved in crucial interactions in the living cell. However, the study of protein complexes formed exclusively by IDPs is hindered by the lack of data and such analyses remain sporadic. Systematic studies benefited other types of protein-protein interactions paving a way from basic science to therapeutics; yet these efforts require reliable datasets that are currently lacking for synergistically folding complexes of IDPs. RESULTS: Here we present the Mutual Folding Induced by Binding (MFIB) database, the first systematic collection of complexes formed exclusively by IDPs. MFIB contains an order of magnitude more data than any dataset used in corresponding studies and offers a wide coverage of known IDP complexes in terms of flexibility, oligomeric composition and protein function from all domains of life. The included complexes are grouped using a hierarchical classification and are complemented with structural and functional annotations. MFIB is backed by a firm development team and infrastructure, and together with possible future community collaboration it will provide the cornerstone for structural and functional studies of IDP complexes. AVAILABILITY AND IMPLEMENTATION: MFIB is freely accessible at http://mfib.enzim.ttk.mta.hu/. The MFIB application is hosted by Apache web server and was implemented in PHP. To enrich querying features and to enhance backend performance a MySQL database was also created. CONTACT: [email protected], [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Erzsébet Fichó, István Reményi, István Simon, Bálint Mészáros
Bioinform.2