• 108, Dániel Hegedűs, Vince Grolmusz:The Length and the Width of the Human Brain Circuit Connections are
  Strongly Correlated, arXiv preprint arXiv 2404.12763 (2024)
• 107,Ivan Randelovic, Kinga Nyíri, Gergely Koppány, Marcel Baranyi, József Tóvári, Attila Kigyós, József Timár, Beáta G. Vértessy, Vince Grolmusz: Gluing GAP to RAS Mutants: A New Approach to an Old Problem in Cancer Drug Development, arXiv preprint arXiv 2312.05791 (2023)
• 106, Vince Grolmusz: A Note on the LogRank Conjecture in Communication Complexity, Mathematics (2023), Vol. 11, 4651. https://doi.org/10.3390/math11224651.
• 105,László Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz: Navigating Homogeneous Paths through Amyloidogenic and Non-Amyloidogenic Hexapeptides, arXiv preprint arXiv 2309.03624 (2023)
• 104, Kinga K. Nagy, Kristóf Takács, Imre Németh, Bálint Varga, Vince Grolmusz, Mónika Molnár, Beáta G. Vértessy:
  Novel enzymes for biodegradation of polycyclic aromatic hydrocarbons: metagenomics-linked identification followed by functional analysis, arXiv preprint arXiv 2308.15914 (2023)
• 103, Dániel Hegedűs, Vince Grolmusz:
  Robust Circuitry-Based Scores of Structural Importance of Human Brain Areas, arXiv preprint arXiv 2212.00168 (2022)
• 102, Kristóf Takács, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz: Opening Amyloid-Windows to the Secondary Structure of Proteins: The Amyloidogenecity Increases Tenfold Inside Beta-Sheets, arXiv preprint arXiv 2210.11842 (2022)
• 101, Muntasir Kamal, Levon Tokmakjian, Jessica Knox, Peter Mastrangelo, Jingxiu Ji, Hao Cai, Jakub Wojciechowski, Micael P. Hughes, Kristof Takacs, Xiaoquan Chu, Jianfeng Pei, Vince Grolmusz, Malgorzata Kotulska, Julie Deborah Forman-Kay, Peter J. Roy:  A Spatiotemporal Reconstruction of the C. elegans Pharyngeal Cuticle Reveals a Structure Rich in Phase-Separating Proteins, bioRxiv preprint,  posted March 14, 2022.
  doi: https://doi.org/10.1101/2022.03.11.483951
• 100, László Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz:
  Succinct Amyloid and Non-Amyloid Patterns in Hexapeptides
  arXiv preprint arXiv 2202.14031 (2022)
• 99, Lászlo Keresztes, Evelin Szögi, Balint Varga, Vince Grolmusz:  Discovering Sex and Age Implicator Edges in the Human Connectome  arXiv preprint arXiv:2107.01699 (2021) https://arxiv.org/abs/2107.01699
• 98, Kristóf Takács, Vince Grolmusz: The multiple alignments of very short sequences, FASEB BioAdvances, First published 04 February 2021, https://doi.org/10.1096/fba.2020-00118
• 97, László Keresztes, Evelin Szögi, Bálint Varga, Viktor Farkas, András Perczel, Vince Grolmusz: The Budapest Amyloid Predictor and its Applications, arXiv preprint arXiv 2011:03759 (2020), journal version: Biomolecules, 11(4) 500,  (2021) https://doi.org/10.3390/biom11040500
• 96, László Keresztes, Evelin Szögi, Bálint Varga, Vince Grolmusz: Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org, arXiv preprint arXiv:2010.09568 (2020), Journal version: Scientific Reports, 12:3102 (2022), https://doi.org/10.1038/s41598-022-06697-4
• 95, Bálint Varga, Vince Grolmusz:  The braingraph.org Database with more than 1000 Robust Human Structural Connectomes in Five Resolutions, arXiv preprint arXiv:2008.13273 (2020), Journal version: Cognitive Neurodynamics Vol. 15 No. 5,  pp. 915-919, (2021) https://doi.org/10.1007/s11571-021-09670-5
• 94, Kristóf Takács,  Vince Grolmusz: On the Border of the Amyloidogenic Sequences: Prefix Analysis of the
  Parallel Beta Sheets in the PDB_Amyloid Collection
  arXiv preprint arXiv:2003:02942 (2020), Journal version: Journal of Integrative Bioinformatics, Pre-published online July 26, 2021,  https://doi.org/10.1515/jib-2020-0043
  
• 93, László Keresztes, Evelin Szögi, Bálint Varga, Vince Grolmusz: Identifying Super-Feminine, Super-Masculine and Sex-Defining Connections in the Human Braingraph, arXiv preprint arXiv:1912:02291, Journal version: Cognitive Neurodynamics, Vol. 15. No. 6. pp. 949-959 (2021) https://doi.org/10.1007/s11571-021-09687-w
• 92, Máté Fellner, Bálint Varga, Vince Grolmusz: Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence on a 414-Subject Cohort, Scientific Reports  Vol. 10. 11967 (2020)
• 91, Máté Fellner, Bálint Varga, Vince Grolmusz: The Frequent Complete Subgraphs in the Human Connectome,PLOS ONE 15(8): e0236883 (2020). 
• 90, Máté Fellner, Bálint Varga, Vince Grolmusz: The Frequent Network Neighborhood Mapping of the Human Hippocampus Shows Much More Frequent Neighbor Sets in Males Than in Females, PLOS ONE 15(1): e0227910 (2020)
• 89, Kristóf Takács, Bálint Varga, Vince Grolmusz: PDB_Amyloid: An Extended Live Amyloid Structure List from the PDB, FEBS Open Bio, 2018. First published: 19 September 2018,  [impact factor 2.101]; also as an arXiv preprint arXiv:1805.09758 (2018)
• 88, Máté Fellner, Bálint Varga, Vince Grolmusz: The Frequent Subgraphs of the Connectome of the Human Brain, Cognitive Neurodynamics Vol. 13, No. 5, pp. 453-460 (2019) https://doi.org/10.1007/s11571-019-09535-y
• 87, Balázs Szalkai, Vince Grolmusz: MetaHMM: A Webserver for Identifying Novel Genes with Specified Functions in Metagenomic Samples, Genomics, 2018; also as an  arXiv preprint arXiv:1710.10995 (2017)
• 86, Balázs Szalkai, Vince Grolmusz: SCARF: A Biomedical Association Rule Finding Webserver, arXiv preprint arXiv:1709.09850 (2017), journal version: Journal of Integrative Bioinformatics, published online February 4, 2022 (an invited paper), https://doi.org/10.1515/jib-2021-0035
• 85, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Comparing Advanced Graph-Theoretical Parameters of the Connectomes of the Lobes of the Human Brain, Cognitive Neurodynamics, Vol. 12, No. 6, pages 549-559 (2018), https://doi.org/10.1007/s11571-018-9508-y , also as an  arXiv preprint arXiv:1709.04974 (2017)
• 84, Balázs Szalkai, Vince Grolmusz: SECLAF: A Webserver and Deep Neural Network Design Tool for Hierarchical Biological Sequence Classification, Bioinformatics Vol 34, No. 14, pp. 2487-2489 (2018), also as an  arXiv preprint arXiv:1708.04103 (2017);
• 83, Balázs Szalkai, Vince Grolmusz: Near Perfect Protein Multi-Label Classification with Deep Neural Networks, Methods Vol. 132, pp. 50-56, (2018), https://doi.org/10.1016/j.ymeth.2017.06.034,  also as an arXiv preprint arXiv:1703.10663
• 82, Balázs Szalkai, Vince Grolmusz: The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain, Scientific Reports, Vol. 7, 16118, DOI: 10.1038/s41598-017-16326-0 (2017) also as an arXiv preprint arXiv:1610:04568 (2017)
• 81, Csaba Kerepesi, Balázs Szalkai,  Bálint Varga, Vince Grolmusz: The braingraph.org Database of High Resolution Structural Connectomes and the Brain Graph Tools,  Cognitive Neurodynamics Vol. 11 No. 5, pp. 483-486  (2017) doi:10.1007/s11571-017-9445-1, also as an arXiv preprint arXiv:1610:02016
• 80, Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics, PLoS One, Vol. 14 No. 4,: e0215473 (2019) https://doi.org/10.1371/journal.pone.0215473 also as an arXiv preprint arXiv:1609.09036 (2016)
• 79, Balázs Szalkai, Vince Grolmusz: Significant Differences Found in Short Nucleotide Sequences of Human Intestinal Metagenomes of Northern-European and Chinese Origin, Biochimica et Biophysica Acta (BBA) – General Subjects, Volume 1861, Issue 1, Part B, January 2017, Pages 3627–3631.
• 78, Csaba Kerepesi, Bálint Varga, Balázs Szalkai,  Vince Grolmusz:The Dorsal Striatum and the Dynamics of the Consensus Connectomes in the Frontal Lobe of the Human Brain, Neuroscience Letters, Volume 673, 23 April 2018, pp.51-55, also as an arXiv preprint arXiv:1605.01441 (2016);
• 77, Balázs Szalkai, Vince Grolmusz: Human Sexual Dimorphism of the Relative Cerebral Area Volumes in the Data of the Human Connectome Project, European Journal of Anatomy, Vol.  22, No. 3. pp. 221-225 (2018), also as an arXiv preprint arXiv:1604.05992
• 76, Balázs Szalkai, Bálint Varga, Vince Grolmusz: The Graph of Our Mind, arXiv preprint arXiv:1603.00904 (2016), Journal version: Brain Sciences, Vol. 11, No. 3. 342 (2021) https://doi.org/10.3390/brainsci11030342
• 75, Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: Parameterizable Consensus Connectomes from the Human Connectome Project: The Budapest Reference Connectome Server v3.0 arXiv preprint arXiv:1602.04776 (2016); also  in Cognitive Neurodynamics, 11(1), pp. 113-116, (2017) http://dx.doi.org/10.1007/s11571-016-9407-z
• 74, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Mapping Correlations of Psychological and Connectomical Properties of the Dataset of the Human Connectome Project with the Maximum Spanning Tree Method,   Brain Imaging and Behavior, available online August 7, 2018, https://doi.org/10.1007/s11682-018-9937-6  also as an arXiv preprint arXiv:1602.03008 (2016)
• 73, Csaba Kerepesi, Vince Grolmusz: Evaluating the Quantitative Capabilities of Metagenomic Analysis Software, Current Microbiology, Vol. 72. No. 5. pp. 612-616 (2016).
• 72, Balázs Szalkai, Bálint Varga, Vince Grolmusz: The Advantage is at the Ladies: Brain Size Bias-Compensated Graph-Theoretical Parameters are Also Better in Women’s Connectomes Brain Imaging and Behavior (2017)  http://dx.doi.org/10.1007/s11682-017-9720-0; also in arXiv preprint arXiv:1512.01156  (2015);
• 71,  Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain PLOS ONE 11(6): e0158680. doi:10.1371/journal.pone.0158680, June 30, 2016, also in arXiv:1509.05703 (2015);
• 70, Csaba Kerepesi, Judit E. Szabó, Vince Grolmusz, Beáta G. Vértessy:  Life without dUTPase.  arXiv preprint arXiv:1509.04850 (2015), journal version: Frontiers in Microbiology, doi: 10.3389/fmicb.2016.01768 (2016)

• 69, Csaba Kerepesi,  Vince Grolmusz: The “Giant Virus Finder” Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys,  Archives of Virology (2017) Vol. 162, No. 6, pp. 1671-1676; also as an arXiv preprint 1503.05575 (2015).
• 68, Csaba Kerepesi, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Comparative Connectomics: Mapping the Inter-Individual Variability of Connections within the Regions of the Human Brain,  arXiv preprint 1507.00327 (2015); Journal version: Neuroscience Letters, Vol. 662, pp. 17-21 (2018).
• 67, Balázs Szalkai,  Vince Grolmusz: Nucleotide 9-mers Characterize the Type II Diabetic Gut Metagenome, arXiv preprint 1505.00476 (2015); also in Genomics, Vol. 107 (2016) pp. 120-123, 
• 66, Vince Grolmusz: Identifying diabetes-related important protein targets with few interacting partners with the PageRank algorithm, Royal Society Open Science, 2:140252, (2015) http://dx.doi.org/10.1098/rsos.140252
• 65, Vince Grolmusz: A note on the PageRank of undirected graphs, Information Processing Letters Vol. 115 (2015), pp. 633-634. http://dx.doi.org/10.1016/j.ipl.2015.02.015 (it is the journal version of  arXiv 1205.1960.)
• 64, Kata Horváti, Bernadett Bacsa, Nóra Szabó, Kinga Fodor, Gyula Balka, Miklós Rusvai, Éva Kiss, Gábor Mező, Vince Grolmusz, Beáta Vértessy, Ferenc Hudecz, Szilvia Bősze: Antimycobacterial activity of peptide conjugate of pyridopyrimidine derivative against Mycobacterium tuberculosis in a series of in vitro and in vivo models, Tuberculosis, Published online: February 12, 2015,  DOI: http://dx.doi.org/10.1016/j.tube.2015.02.026
• 63, Balázs Szalkai, Bálint Varga, Vince Grolmusz: Graph-theoretical Analysis Reveals: Women’s Brains are Better Connected than Men’s,  PLoS One, 10(7): e0130045. doi:10.1371/journal.pone.0130045, it is the journal version of arXiv preprint arXiv:1501.00727,  January 4, 2015
• 62, Balázs Szalkai, Csaba Kerepesi, Bálint Varga, Vince Grolmusz: The Budapest Reference Connectome Server v2.0, Neuroscience Letters, Vol. 595, 19 May 2015, Pages 60-62. DOI: http://dx.doi.org/10.1016/j.neulet.2015.03.071, Preprint version: arXiv:1412.3151, December 9, 2014.
• 61, Csaba Kerepesi, Balázs Szalkai, Vince Grolmusz: Visual analysis of the quantitative composition of metagenomic communities: the AmphoraVizu webserver; Microbial Ecology, Vol. 69 (2015) pp. 695-697, DOI 10.1007/s00248-014-0502-6
• 60, Csaba Kerepesi, Vince Grolmusz: Giant viruses of the Kutch desert; Archives of Virology,  Vol. 161 (2016), No.3 pp.721-724,      Preprint version: arXiv 1410:1278, October 2014.
• 59, Gábor Iván, Vince Grolmusz: Dimension reduction of clustering results in bioinformatics; Biochimica et Biophysica Acta (BBA)- Proteins and Proteomics; 1844 (2014), pp. 2277-2283; DOI: 10.1016/j.bbapap.2014.08.015.  Preprint version: arXiv preprint arXiv:1309.1892
• 58, Balázs Szalkai, Ildikó Scheer, Kinga Nagy, Beáta G Vértessy, Vince Grolmusz, The Metagenomic Telescope, PLoS One, Vol. 9, No. 7, e101605, July 2014,  http://dx.doi.org/10.1371/journal.pone.0101605
• 57, Rafael Ördög, Dániel Bánky, Balázs Szerencsi, Péter Juhász, Vince Grolmusz, The Erdős webgraph server, Discrete Applied Mathematics, Vol. 167, pp. 315-317, April 2014, http://dx.doi.org/10.1016/j.dam.2013.10.032.
• 56, Csaba Kerepesi, Dániel Bánky, Vince Grolmusz: AmphoraNet: The Webserver Implementation of the AMPHORA2 Metagenomic Workflow Suite, Gene, 2014, Vol. 533 No. 2. pp. 538-540; http://dx.doi.org/10.1016/j.gene.2013.10.015
• 55, Dániel Bánky, Balázs Szalkai, Vince Grolmusz: An Intuitive Graphical Webserver for Multiple-Choice Protein Sequence Search; arXiv preprint arXiv:1312.4660; also in Gene, Vol. 539, No. 1, pp. 152-153, April 2014,
• 54, Balázs Szalkai, Vince K Grolmusz, Vince I Grolmusz, CAM Diseases: Identifying Combinatorial Biomarkers by Association Rule Mining in the CAMD Alzheimer’s Database; arXiv preprint arXiv:1312.1876 (2013); also in Archives of Gerontology and Geriatrics., Vol. 73, pp. 300-307, (2017)
• 53, Orsolya Barabás, Veronika Németh, Andrea Bodor, András Perczel, Edina Rosta, Zoltán Kele, Imre Zagyva, Zoltán Szabadka, Vince I Grolmusz, Matthias Wilmanns, Beáta G Vértessy: Catalytic mechanism of ?-phosphate attack in dUTPase is revealed by X-ray crystallographic snapshots of distinct intermediates, 31P-NMR spectroscopy and reaction path modelling, Nucleic Acids Research, Vol. 41, No. 22, pp. 10542–10555, December 2013, , doi: 10.1093/nar/gkt756
  
• 52, Dániel Bánky, Gábor Iván, Vince Grolmusz: Equal Opportunity for Low-Degree Network Nodes: A PageRank-Based Method for Protein Target Identification in Metabolic Graphs, PLoS ONE 8(1): e54204. doi:10.1371/journal.pone.0054204, published on January 29, 2013
• 51, Gábor Iván, Dániel Bánky, Vince Grolmusz: Fast and Exact Sequence Alignment with the Smith-Waterman Algorithm: The SwissAlign Webserver. arXiv preprint arXiv:1309.1895; Journal version appeared in Gene Reports, Vol. 4, September 2016, Pages 26-28.
• 50, Lilla Tóthmérész, Vince Grolmusz: Characterizing the Functional Similarity of Enzymes with high Co-Citation in Interaction Networks, Protein and Peptide Letters, Vol. 20, 2013, pp. 1181-1187 (Also available as a personal preprint version).
• 49, Vince Grolmusz:  A Note on the PageRank of Undirected Graphs, Information Processing Letters, 115 (2015), pp. 633-634.  http://dx.doi.org/10.1016/j.ipl.2015.02.015,  also in arXiv 1205.1960, May 10, 2012
• 48, Kata Horváti, Bernadett Bacsa, Nóra Szabó, Sándor Dávid, Gábor Mező, Vince Grolmusz, Beáta Vértessy, Ferenc Hudecz, and Szilvia Bősze: Enhanced Cellular Uptake of a New, in Silico Identified Antitubercular Candidate by Peptide Conjugation,   Bioconjugate Chemistry,2012, 23 (5), pp 900-907 DOI: 10.1021/bc200221t
• 47, Christoph Scheich, Zoltán Szabadka, Beáta Vértessy, Vera Pütter, Vince Grolmusz, Markus Schade: Discovery of Novel  MDR-Mycobacterium tuberculosis Inhibitor by New FRIGATE Computational Screen. PLoS ONE 6(12): e28428. doi:10.1371/journal.pone.0028428 (2011).
• 46, Árpád Tóth, Dániel Bánky, and Vince Grolmusz: 3D Brownian Motion Simulator for High-Sensitivity Nano-Biotechnological Applications, IEEE Transactions on Nanobioscience. Vol. 10, No. 4. pp. 248-249,  doi: 10.1109/TNB.2011.2169331. p. 2. (Also available as a personal preprint version).
• 45, Árpád Tóth, Dániel Bánky and Vince Grolmusz: Mathematical modeling and computer simulation of Brownian motion and hybridization of nanoparticle-bioprobe-polymer complexes in the low concentration limit, Molecular Simulation, Vol. 38, No. 1. pp. 66-71, DOI: 10.1080/08927022.2011.602217
• 44, Gábor Iván,  Vince Grolmusz: When the Web Meets the Cell: Using Personalized PageRank for Analyzing Protein Interaction Networks,   Bioinformatics Vol. 27, No. 3. pp. 405-407.
• 43, Gábor Iván, Zoltán Szabadka, Vince Grolmusz: Cysteine and Tryptophan Anomalies Found when Scanning all the Binding Sites in the Protein Data Bank,  (available also as a preliminary version). International Journal of Bioinformatics Research and Applications, Vol. 6, No. 6, 2010, pp. 594-608
• 42, Gábor Iván, Zoltán Szabadka, Vince Grolmusz: A Hybrid Clustering of Protein Binding Sites (also as a preliminary version).  FEBS Journal Vol. 277, No. 6. pp. 1494-1502  (2010).
• 41, Gábor Iván, Zoltán Szabadka, Vince Grolmusz: On the asymmetry of the residue compositions of the binding sites on protein surfaces;  Journal of Bioinformatics and Computational Biology, Vol. 7. No. 6. (2009) pp. 931-938.
• 40, Rafael Ördög, Zoltán Szabadka, Vince Grolmusz: DECOMP: A PDB decomposition tool on the web, Bioinformation Vol. 3 No. 10. pp. 413-414 (2009)
• 39, Dániel Bánky, Rafael Ördög, Vince Grolmusz: NASCENT: An automatic protein interaction network generation tool for non-model organisms. Bioinformation Vol. 3 No. 8. pp. 361-363 (2009)
• 38, Rafael Ördög, Vince Grolmusz: On the bond graphs in the Delaunay-tetrahedra of the simplicial decomposition of spatial protein structures; Proceedings of the International Workshop on Practical Applications of Computational Biology & Bioinformatics (IWPACBB’09) LNCS 5518, University of Salamanca, June 10-12, 2009. Also available as a personal preprint version.
• 37, Gábor Iván, Zoltán Szabadka, Rafael Ördög, Vince Grolmusz, Gábor Náray-Szabó: Four Spatial Points That Define Enzyme Families, Biochemical and Biophysical Research Communications, Vol. 383, No. 4, pp. 417-420,(2009)  doi:10.1016/j.bbrc.2009.04.022; also available as a personal preprint version.
• 36, K. Hill, C.B. Pénzes, B.G. Vértessy, Z. Szabadka, V. Grolmusz, É. Kiss: Amphiphilic Nature of New Antitubercular Drug Candidates and Their Interaction with Lipid Monolayer, Progr Colloid Polym Sci (2008) 135: 87-92, DOI 10.1007/2882_2008_117
• 35, Vince Grolmusz:  Modular Representations of Polynomials: Hyperdense Coding and Fast Matrix Multiplication.  IEEE Transactions on Information Theory. Volume 54, Issue 8, Aug. 2008 Pages:3687 – 3692; DOI:10.1109/TIT.2008.926346
• 34, Rafael Ördög, Vince Grolmusz: Evaluating Genetic Algorithms in Protein-Ligand Docking, Proc. Bioinformatics Research and Applications, Atlanta, GA, 2008, LNCS Vol. 4983/2008, pp. 402-413, DOI: 10.1007/978-3-540-79450-9
• 33, Zoltán Szabadka, Rafael Ördög, Vince Grolmusz: The Ramachandran Map of More Than 6,500 Perfect Polypeptide Chains, Biophysical Reviews and Letters, Vol 2, No. 3/4 (2007), pp. 267-271, DOI:10.1142/S1793048007000519
• 32, Rafael Ordog, Zoltán Szabadka, Vince Grolmusz: Analyzing the Simplicial Decomposition of Spatial Protein Structures; 6th International Conference on Bioinformatics (InCoB 2007), Hong Kong University of Science and Technology, Hong Kong, 27th-30th August, 2007; Journal version: BMC Bioinformatics,  2008, 9(Suppl 1):S11(doi:10.1186/1471-2105-9-S1-S11), http://www.biomedcentral.com/1471-2105/9/S1/S11
• 31, Zoltán Szabadka, Gábor Iván, Vince Grolmusz: Being a Binding-Site: Characterizing Residue-Composition of Binding Sites on Proteins, 6th International Conference on Bioinformatics (InCoB 2007), Hong Kong University of Science and Technology, Hong Kong, 27th-30th August, 2007. Journal version: Bioinformation 2(5), 216-221 (2007), http://www.bioinformation.net/002/004800022007.htm
• 30, Zoltán Szabadka, Vince Grolmusz: Building a Structured PDB: The RS-PDB Database. Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, Aug. 30-Sept 3, 2006., pp. 5755-5758.
• 29, Zoltán Szabadka, Vince Grolmusz: High Throughput Processing of the Structural Information of the Protein Data Bank , DIMACS Workshop on Information Processing by Protein Structures in Molecular Recognition, June 13 – 14, 2005, DIMACS Center,  Rutgers University. Preprint version. Journal version  Journal of Molecular Graphics and Modeling.25 (2007) pp. 831-836 http://dx.doi.org/10.1016/j.jmgm.2006.08.004
• 28, Grolmusz, V.: On some applications of randomized memory. Proceedings of the GRACO 2005, Angra dos Reis, Brazil, 27-29 April 2005. Electronic Notes in Discrete Mathematics, Vol. 19, 2005, pp. 203-209
• 27, Grolmusz, V,, Zoltán Király: Generalized Secure Routerless Routing,  Proceedings of the 4th International Conference on Networking, (ICN) Reunion Island, France, April 17-21, 2005, in the LNCS Series No. 3421, pp. 454-462; C Springer-Verlag;
• 26, Grolmusz, V,, Zoltán Király: Secure Routerless Routing, Proceedings of the Workshop “Future Directions in Network Architectures 2004” of the SIGCOMM’04 Conference, Portland, Oregon, August 30-September 3 2004
• 25, Grolmusz, V: Defying Dimensions Modulo 6, ECCC Report TR03-058
• 24, Grolmusz, V: Near Quadratic Matrix Multiplication Modulo Composites,  ECCC Report TR03-001,
• 23, Grolmusz, V, Tardos, G.: A Note on Non-Deterministic Communication Complexity with Few Witnesses, Journal version: Theory of Computing Systems, Vol. 36, No.4. pp. 387-391
• 22, Grolmusz, V.: A Note on Explicit Ramsey Graphs and Modular Sieves,  Combinatorics, Probability and Computing Vol. 12, (2003) pp. 565-569 (an invited paper).
• 21, Grolmusz, V.: Computing Elementary Symmetric Polynomials with a Sub-Polynomial Number of Multiplications, ECCC Report TR02-052, ( also in PDF), Journal version:  SIAM Journal on Computing, Vol. 32, No. 6 (2003), pp 1475-1487.
• 20, Grolmusz, V.: Co-Orthogonal Codes, Proceedings of the COCOON’2002, Singapore, August, 2002, Published in the LNCS Series No. 2387, pp. 144-152; C Springer-Verlag; Journal version: Designs, Codes and Cryptography Vol. 38, No. 3 (2006) pp. 363-372
• 19, Grolmusz, V.: Pairs of Codes with Prescribed Hamming Distances and Coincidences, DIMACS Technical Report No. 2002-09. Journal version: Designs, Codes and Cryptography,  Vol 41 (2006) , No. 1., pp. 87-99.
• 18, Grolmusz, V.: A Trade-Off for Covering the Off-Diagonal Elements of Matrices,, DIMACS Technical Report No. 2002-01
• 17, Grolmusz, V., Sudakov, B.:k-wise Set-Intersections and k-wise Hamming-Distances , DIMACS Technical Report No. 2001-11. Journal version: J. Combin. Theory Ser. A 99 (2002), no. 1, 180–190.
• 16, Grolmusz, V.: Set-Systems with Restricted Multiple Intersections,  Electronic Journal of Combinatorics,  Vol. 9, (2002), No. 1, R8
• 15, Grolmusz, V.: Constructing Set-Systems with Prescribed Intersection Sizes,  DIMACS Technical Report No. 2001-03, Also in the  Journal of Algorithms, Vol. 44 (2002), pp. 321-337.
• 14, Grolmusz, V.: A Note on Set Systems with no Union of Cardinality 0 Modulo m, DIMACS Technical Report No. 2000-11; also in DMTCS, Vol 6, No. 1 (2003), pp 41-44.
• 13, Grolmusz, V.: Low Rank Co-Diagonal Matrices and Ramsey Graphs, Electronic Journal of Combinatorics,  Vol. 7, (2000), No. 1, R15
• 12, Grolmusz, V., Tardos, G.: Lower Bounds for (MOD p, MOD m) Circuits,  ECCC Report TR98-036,   Conference version: Proceedings of FOCS’98, Palo Alto, California, November 1998, pp. 279-289;  Journal version: SIAM Journal on Computing, Vol. 29, (2000), No. 4, pp. 1209-1222
• 11, Grolmusz, V.: A Degree-Decreasing Lemma for (MOD q-MOD p) Circuits,  DMTCS Vol. 4. (2001) No. 2. pp. 247-254. A preliminary version appeared in the Proceedings of ICALP’98, Aalborg, Denmark, July 1998, LNCS 1443, pp. 215-213,
• 10, Grolmusz, V.: Superpolynomial Size Set-Systems with Restricted Intersections mod 6 and Explicit Ramsey Graphs PDF) Journal version: Combinatorica, Vol. 20, (2000), No. 1, pp. 73-88. Preliminary version appeared in the  Proceedings of  COCOON’97, Shanghai, August 20-22, 1997, LNCS 1276, pp. 82-90.
• 9, Grolmusz, V.: Harmonic Analysis, Real Approximation, and the Communication Complexity of Boolean Functions Algorithmica  Vol. 23. (1999) pp. 341-353 (an invited paper). Also in Proceedings of COCOON’96, Hong Kong, June 17-19, 1996, LNCS 1090, pp. 142-151.
•  8, Grolmusz, V.: Circuits and Multi-Party Protocols,  computational complexity Vol. 7, (1998), pp. 1-18.
• 7, Grolmusz, V.: On the Power of Circuits with Gates of Low L_1 Norms ECCC Report TR95-046 Journal version: Theoretical Computer Science A, Vol. 188, (1997), pp. 117-127.
• 6, Grolmusz, V.: On the weak mod m representation of Boolean functions, CJTCS Vol. 1995 No. 2
• 5, Grolmusz, V.: A Weight-Size Trade-Off for Circuits with MOD m Gates, Proc. 26th ACM STOC, Montreal, 1994, pp. 68-74
• 4, Grolmusz, V.: The BNS Lower Bound for Multi–Party Protocols is Nearly Optimal Information and Computation, Vol. 112, (1994) No. 1, pp. 51–54.
• 3, Grolmusz, V.: Separating the Communication Complexities of MOD m and MOD p Circuits, Proceedings of the 33rd Annual Symposium on Foundations of Computer Science (FOCS), Pittsburgh, 1992, pp. 278-287, Journal version:  Journal of Computer and Systems Sciences, Vol. 51, (1995), No. 2, pp. 307-313
• 2, Grolmusz, V.: Large Parallel Machines Can be Extremely Slow for Small Problems;   Algorithmica, Vol. 6, (1991), pp. 479-489.
• 1, Vince Grolmusz, Prabhakar Ragde: Incomparability in parallel computation, Proceedings of the 28th Annual Symposium on Foundations of Computer Science (FOCS), Los Angeles, 1987, pp. 89-98, Journal version:  Discrete Applied Mathematics, Vol. 29 (1990), No. 1. pp. 63–78.

Published Patents:

Conference Abstracts

• 31, Vince Grolmusz, Balázs Szalkai, Beáta Vertessy and Ildiko Scher: An inter-species landscape of DNA repair proteins based on extreme metagenomes and repeated HMM profiling, SW01.S3-42, Proc. of 38th FEBS Conference,  July 6th – 11th 2013, St. Petersburg, Russia; FEBS Journal – Volume 280, Issue Supplement s1.
• 30, Dániel Bánky, Gábor Iván, Vince Grolmusz:Identifying non.hub important vertices in protein graphs, Proc. 43rd Southeastern International Conference on Combinatorics, Graph Theory, and Computing, Boca Raton, FL, March 5-9, 2012.
• 29, Vince Grolmusz, Gábor Iván , Dániel Banky, Balázs Szerencsi: How to Find Non Hub Important Nodes in Protein Networks? Biophysical Journal, V. 102, No. 3. 2012; Proc. 2012 Annual Meeting of the American Biophysical Society, San Diego, CA
• 28, Daniel Banky; Rafael Ordog; Balazs Szerencsi; Vince Grolmusz: Identifying Conservative Subnetworks by NASCENT, Poster L18, 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology, Vienna, July 17-19, 2011
• 27, Balazs Szerencsi; Rafael Ordog; Daniel Banky; Vince Grolmusz: Protein Interaction Network Generated by NASCENT Using Geometric Hashing, Poster L19, 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology, Vienna, July 17-19, 2011
• 26, Gábor Iván, Vince Grolmusz: Revealing the density-based clustering structure of the SwissProt database (poster) Page 606 of Abstract book, International Congress of Mathematicians 2010 Hyderabad, India, 19th-27th August, 2010.
• 25, Rafael Ördög, Vince Grolmusz: Frequently appearing spherically aligned substructers in proteins 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, MA July 11-13, 2010
• 24, Gábor Iván, Dániel Bánky, Vince Grolmusz: Refining the protein interaction network generated by NASCENT using sequence alignment 18th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, MA July 11-13, 2010
• 23, Gábor Iván, Vince Grolmusz: Designing universal oligonucleotides for DNA/nanoparticle conjugates (lecture by Gábor Iván) Nanotech Conference and Expo 2010, Anaheim, California/USA, 21st-25th June, 2010
• 22, Árpád Tóth, Dániel Bánky, Vince Grolmusz: Mathematical modeling and computer simulation of Brownian motion and hybridization of nanoparticle-bioprobe-polymer complexes in the low concentration limit Nanotech Conference and Expo 2010, Anaheim, California/USA, 21st-25th June, 2010,
• 21, Rafael Ördög, Vince Grolmusz: On Delaunay simplices containing functional groups Nanotech Conference and Expo 2010, Anaheim, California/USA, 21st-25th June, 2010
• 20, Gábor Iván, Vince Grolmusz: Revealing the density-based clustering structure of the SwissProt database (poster) 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Stockholm, Sweden, 27th June – 2nd July, 2009
• 19, Gábor Iván, Dániel Bánky, Vince Grolmusz: Finding new drug candidates against Mycobacterium tuberculosis using protein-protein interaction networks  17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Stockholm, Sweden, 27th June – 2nd July, 2009
• 18, Gábor Iván, Zoltán Szabadka, Rafael Ördög, Vince Grolmusz: Decomp: a PDB decomposition tool (talk by Gábor Iván) 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) Stockholm, Sweden, 27th June – 2nd July, 2009
• 17, Rafael Ördög, Vince Grolmusz: WikiPDB- A community for enhancing the PDB, (talk by Rafael Ördög). 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Stockholm, Sweden, 27th June – 2nd July, 2009
• 16, Dániel Bánky, Rafael Ördög, Vince Grolmusz: NASCENT: An Automatic Protein Interaction Network Generation Tool, (talk by Dániel Bánky). 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Stockholm, Sweden, 27th June – 2nd July, 2009
• 15, Annamária Ángyán, Gábor Iván; Vince Grolmusz; Evaluating small molecule libraries using molecular docking and binding profile analysis, 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Stockholm, Sweden, 27th June – 2nd July, 2009
• 14, Vince Grolmusz, Rafael Ördög: On the Delaunay tesselation of proteins, Proc. 40th Southeastern International Conference on Combinatorics, Graph Theory, and Computing, Boca Raton, FL, March 2-6, 2009.
• 13, Rafael Ördög, Zoltán Szabadka, Vince Grolmusz: A community portal for a better PDB. 16th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Toronto, Canada July 19-July 23, 2008.
• 12, Gabor Ivan; Zoltan Szabadka; Vince Grolmusz: Analysis of the Mycobacterium tuberculosis interactome, 16th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Toronto, Canada July 19-July 23, 2008.
• 11, Vince Grolmusz, Gábor Iván, Zoltán Szabadka: Broken symmetry in proteins, Proc. 39th Southeastern International Conference on Combinatorics, Graph Theory, and Computing, Boca Raton, FL, March 3-7, 2008.
• 10, Vince Grolmusz: Hyperdense Coding with Probabilistic Memory Cells, Proc. 38th Southeastern International Conference on Combinatorics, Graph Theory, and Computing, Boca Raton, FL, March 5-9, 2007.
• 9, Zoltán Szabadka, Gábor Iván, Vince Grolmusz: Analyzing the Residue-Composition of Metal Binding Sites in the Whole Protein Data Bank. Mol. Biol. Cell 17(suppl), 535. (CD-ROM) (Appeared in the Proceedings of the 46th Annual Meeting of the American Society of Cell Biology, December 9-13, 2006, San Diego, CA).
• 8, Zoltán Szabadka, Vince Grolmusz: Building a Structured PDB: The RS-PDB Database, Proceedings of the 28th IEEE EMBS Annual International Conference, New York City, Aug. 30-Sept 3, 2006., pp. 5755-5758.
• 7, Zoltán Szabadka, Vince Grolmusz: Re-Structuring the PDB , European Conference on Operational Research (EURO 2006) , July 2-5, 2006, Reykjavik, Iceland
• 6, Ördög Rafael, Vince Grolmusz: Optimizing the running-structure of genetic-based docking algorithms , 21st European Conference on Operational Research (EURO 2006) , July 2-5, 2006, Reykjavik, Iceland
• 5, Vince Grolmusz: Sixtors and Mod 6 Computations, Proc. 37th Southeastern International Conference on Combinatorics, Graph Theory, and Computing, Boca Raton, FL, March, 2006.
• 4, Zoltán Szabadka, Vince Grolmusz: High Throughput Processing of the Structural Information of the Protein Data Bank DIMACS Workshop on Information Processing by Protein Structures in Molecular Recognition , June 13 – 14, 2005, DIMACS Center, Rutgers University
• 3, Balázs Kósa, Zoltán Szabadka, Vince Grolmusz: Mining Protein Binding Sites , European Life Science Organization Meeting (ELSO 2005 ) .
• 2, Zoltán Szabadka, Vince Grolmusz: High Throughput Processing of the Structural Information in the Protein Data Bank , European Life Science Organization Meeting (ELSO 2005 ).
• 1, Vince Grolmusz, Elemér Hubenkó: Clustering Binding Sites on Protein Surfaces, European Life Science Organization Meeting (ELSO 2005 ).