TY - CONF AU - Plesz, Szonja Bianka AU - Adlan, Leatitia Gabriella AU - Büki, Alexandra AU - Horváth, Gyöngyi AU - Ligeti, Balázs AU - Zádori, Zoltán Sándor AU - Kékesi, Gabriella TI - Exploring the gut-brain connection: How does microbiome composition relate to cognitive behavior in Wisket model rats? T2 - 7th Hungarian Neuroscience Doctoral Conference for Undergraduate Students, Graduate Students and Junior Post-Docs (HUNDOC) Booklet PY - 2024 SP - 86 UR - https://m2.mtmt.hu/api/publication/34577105 ID - 34577105 LA - English DB - MTMT ER - TY - CONF AU - Plesz, Szonja Bianka AU - Adlan, Leatitia Gabriella AU - Büki, Alexandra AU - Ligeti, Balázs AU - Zádori, Zoltán Sándor AU - Kékesi, Gabriella TI - Is gut dysbiosis associated with the motivational deficit observed in Wisket animals? T2 - International Neuroscience Conference, Pécs 2024 PY - 2024 SP - 73 UR - https://m2.mtmt.hu/api/publication/34576951 ID - 34576951 LA - English DB - MTMT ER - TY - CONF AU - Plesz, Szonja Bianka AU - Adlan, Leatitia Gabriella AU - Büki, Alexandra AU - Ligeti, Balázs AU - Zádori, Zoltán Sándor AU - Horváth, Gyöngyi AU - Kékesi, Gabriella TI - A Lactobacillaceae baktériumok előfordulása a szkizofrénia Wisket állatmodelljének mikrobiomjában T2 - A XI. Eötvözet Konferencián elhangzó előadások rövid összefoglalója PY - 2023 SP - 24 EP - 24 PG - 1 UR - https://m2.mtmt.hu/api/publication/34577063 ID - 34577063 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Sulyok, András Attila TI - State Reconstruction with Generative Models in POMDPs JF - PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS J2 - PHD PROC PPKE IT VL - 16 PY - 2021 SP - n.p. SN - 2064-7271 UR - https://m2.mtmt.hu/api/publication/32905157 ID - 32905157 LA - English DB - MTMT ER - TY - JOUR AU - Harmat, Zita AU - Dudola, Dániel AU - Gáspári, Zoltán TI - DIPEND: An Open-Source Pipeline to Generate Ensembles of Disordered Segments Using Neighbor-Dependent Backbone Preferences JF - BIOMOLECULES J2 - BIOMOLECULES VL - 11 PY - 2021 IS - 10 PG - 15 SN - 2218-273X DO - 10.3390/biom11101505 UR - https://m2.mtmt.hu/api/publication/32460741 ID - 32460741 N1 - Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter Str. 50/A, Budapest, 1083, Hungary 3in Research Group, Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Esztergom, 2500, Hungary Cited By :1 Export Date: 18 September 2023 Correspondence Address: Gáspári, Z.; Faculty of Information Technology and Bionics, Práter Str. 50/A, Hungary; email: gaspari.zoltan@itk.ppke.hu AB - Ensemble-based structural modeling of flexible protein segments such as intrinsically disordered regions is a complex task often solved by selection of conformers from an initial pool based on their conformity to experimental data. However, the properties of the conformational pool are crucial, as the sampling of the conformational space should be sufficient and, in the optimal case, relatively uniform. In other words, the ideal sampling is both efficient and exhaustive. To achieve this, specialized tools are usually necessary, which might not be maintained in the long term, available on all platforms or flexible enough to be tweaked to individual needs. Here, we present an open-source and extendable pipeline to generate initial protein structure pools for use with selection-based tools to obtain ensemble models of flexible protein segments. Our method is implemented in Python and uses ChimeraX, Scwrl4, Gromacs and neighbor-dependent backbone distributions compiled and published previously by the Dunbrack lab. All these tools and data are publicly available and maintained. Our basic premise is that by using residue-specific, neighbor-dependent Ramachandran distributions, we can enhance the efficient exploration of the relevant region of the conformational space. We have also provided a straightforward way to bias the sampling towards specific conformations for selected residues by combining different conformational distributions. This allows the consideration of a priori known conformational preferences such as in the case of preformed structural elements. The open-source and modular nature of the pipeline allows easy adaptation for specific problems. We tested the pipeline on an intrinsically disordered segment of the protein Cd3ϵ and also a single-alpha helical (SAH) region by generating conformational pools and selecting ensembles matching experimental data using the CoNSEnsX+ server. LA - English DB - MTMT ER - TY - CHAP AU - Ibrahim, Yahya AU - Nagy, Balázs AU - Benedek, Csaba TI - A GAN-based Blind Inpainting Method for Masonry Wall Images T2 - 25th International Conference on Pattern Recognition (ICPR) PB - IEEE CY - Piscataway (NJ) SN - 9781728188089 T3 - Proceedings - International Conference on Pattern Recognition, ISSN 1051-4651 PY - 2021 SP - 3178 EP - 3185 PG - 8 DO - 10.1109/ICPR48806.2021.9413009 UR - https://m2.mtmt.hu/api/publication/32015087 ID - 32015087 LA - English DB - MTMT ER - TY - GEN AU - Mórocz, Ákos TI - Generation of carrier signal using analog phase-locked loops PY - 2020 UR - https://m2.mtmt.hu/api/publication/31829590 ID - 31829590 LA - English DB - MTMT ER - TY - GEN AU - Mórocz, Ákos TI - Egy új, az APLL akvizíciós tulajdonságait alapvetően meghatározó jelenség felfedezése PY - 2020 UR - https://m2.mtmt.hu/api/publication/31829577 ID - 31829577 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Keömley-Horváth, Bence AU - Reguly, István Zoltán TI - Thrust library based high-performance agent-based model for modeling the spread of COVID-19 JF - JEDLIK LABORATORIES REPORTS J2 - JEDLIK LABOR REP VL - 9 PY - 2020 IS - 2 SP - 45 SN - 2064-3942 UR - https://m2.mtmt.hu/api/publication/31776006 ID - 31776006 LA - English DB - MTMT ER - TY - JOUR AU - Ibrahim, Yahya AU - Nagy, Balázs AU - Benedek, Csaba TI - Deep Learning-Based Masonry Wall Image Analysis JF - REMOTE SENSING J2 - REMOTE SENS-BASEL VL - 12 PY - 2020 IS - 23 PG - 28 SN - 2072-4292 DO - 10.3390/rs12233918 UR - https://m2.mtmt.hu/api/publication/31676230 ID - 31676230 LA - English DB - MTMT ER -