Tamás Lázár

Ongoing research projects:

• Developing AI algorithms to investigate ALS/FTD-related condensates formed by LLPS
• Prediction of macromolecular interactions and liquid-liquid phase separation for IDPs
• Proteomics systems biology data integration to contrast the healthy and pathogenic cellular regulation of pathways
• Analysis of pathogenic missense mutations in proteins and AI-based predictor development for disease driver mutations
• Biocuration for IDP-related databases: PED, DisProt, ELM, MoMAP

Completed research projects:

• Macromolecular modeling and systematic analysis of IDPs & linear motif-mediated complexes
• In silico structural analysis exploring conformational preferences of protein variants in Alzheimer's disease
• Modeling the E. coli protein complex formed by YbiB with its terminally disordered partner ObgE
• Full back-end and front-end redesign the Protein Ensemble Database (PED)
• Coevolutionary analysis of linear motifs and protein complexes of IDPs
• Developing and comparing distance-based metrics to compare IDP ensembles
• Thiol-disulphide independent identification of peroxiredoxin 2 interactors
• Modeling the interaction of CBP and IQGAP1 and predicting the function of their association
• Analysis of physicochemical patterns in protein-protein interfaces

1. PED in 2024: improving the community deposition of structural ensembles for intrinsically disordered proteins.
   Ghafouri H*, Lazar T*, Del Conte A, Tenorio Ku LG; PED Consortium; Tompa P, Tosatto SCE, Monzon AM. Nucl. Acids Res. 2024 Jan 5;52(D1):D536-D544. doi: 10.1093/nar/gkad947. PMID: 37904608. (*co-first authorship)

2. Phase-separating fusion proteins drive cancer by dysregulating transcription through ectopic condensates.
   Farahi N*, Lazar T*, Tompa P, Mészáros B, Pancsa R. bioRxiv, 21 Sep 2023. doi: 10.1101/2023.09.20.558425. (*co-first authorship)

3. C9orf72-linked arginine-rich dipeptide repeats aggravate pathological phase separation of G3BP1.
   Nerom MV, Ahmed J, Lazar T, Lindt JV, Pancsa R, Maes D, Tompa P. bioRxiv, 31 Mar 2023. doi: 10.1101/2023.03.31.535023.

4. In-depth characterization of HINT1 pathogenic variants.

   Amor-Barris S*, Lazar T*, Peeters K, Wodak SJ, Jordanova A. bioRxiv, 02 Dec 2023. doi: 10.1101/2023.12.01.569336. (*co-first authorship)

5. The evolution and polymorphism of mono-amino acid repeats in androgen receptor and their regulatory role in health and disease.
   Meszaros A, Ahmed J, Russo G, Tompa P, Lazar T. Front. Med. 2022 Oct; 9:1019803, doi: 10.3389/fmed.2022.1019803, PMID: 36388907.

6. Intrinsic protein disorder uncouples affinity from binding specificity.
   Lazar T, Tantos A, Tompa P, Schad E. Prot. Sci. 2022 Oct; 31(11):e4455. doi: 10.1002/pro.4455. PMID: 36305763

7. Challenges in describing the conformation and dynamics of proteins with ambiguous behavior.
   Roca-Martinez J*, Lazar T*, Gavalda-Garcia J, Bickel D, Pancsa R, Dixit B, Tzavella K, Ramasamy P, Sanchez-Fornaris M, Grau I, Vranken W. Front. Mol. Biosci. 2022 Aug; 9:959956. doi: 10.3389/fmolb.2022.959956. PMID: 35992270. (*co-first authorship)

8. F/YGG-motif is an intrinsically disordered nucleic-acid binding motif.
   Van Lindt J, Lazar T, Pakravan D, Demulder M, Meszaros A, Van Den Bosch L, Maes D, Tompa P. RNA Biology. 2022 May; 19(1):622-635. doi: 10.1080/15476286.2022.2066336. PMID: 35491929

9. DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation.
   Quaglia F, Meszaros B, Salladini E, Hatos A, Pancsa R, Chemes LB, Lazar T, ... Tompa P, Tosatto SCE, Piovesan D. Nucl. Acids Res. 2021 Nov; 50(D1):D480–D487. doi: 10.1093/nar/gkab1082. PMID: 34850135

10. Thiol-disulphide independent in-cell trapping for the identification of peroxiredoxin 2 interactors.
    Luo T, Pueyo JM, Wahni K, Yvanoff C, Lazar T, Pyr Dit Ruys S, Vertommen D, Ezeriņa D, Messens J. Redox Biol. 2021 Oct; 46:102066.
    doi: 10.1016/j.redox.2021.102066. PMID: 34340028

11. Exploring Curated Conformational Ensembles of Intrinsically Disordered Proteins in the Protein Ensemble Database.
    Quaglia F*, Lazar T*, Hatos A, Tompa P, Piovesan D, Tosatto SCE. Curr Protoc Bioinformatics. 2021 Jul;1(7):e192.
    doi: 10.1002/cpz1.192. PMID: 34252246. (*co-first authorship)

12. DNA-binding domain as the minimal region driving RNA-dependent liquid-liquid phase separation of androgen receptor.
    Ahmed J, Meszaros A, Lazar T, Tompa P. Protein Sci. 2021 Jul;30(7):1380-1392.
    doi: 10.1002/pro.4100. PMID: 33938068

13. Integration of Data from Liquid-Liquid Phase Separation Databases Highlights Concentration and Dosage Sensitivity of LLPS Drivers.

    Farahi N*, Lazar T*, Wodak SJ, Tompa P, Pancsa R. Int J Mol Sci. 2021 Mar 16;22(6):3017.
    doi: 10.3390/ijms22063017. PMID: 33809541. (*co-first authorship)

14. Chasing coevolutionary signals in intrinsically disordered proteins complexes.
    Iserte JA*, Lazar T*, Tosatto SCE, Tompa P, Marino-Buslje C. Sci Rep. 2020 Oct 21;10(1):17962.
    doi: 10.1038/s41598-020-74791-6. PMID: 33087759. (*co-first authorship)

15. Distance-Based Metrics for Comparing Conformational Ensembles of Intrinsically Disordered Proteins.
    Lazar T, Guharoy M, Vranken W, Rauscher S, Wodak SJ, Tompa P. Biophys J. 2020 Jun 16;118(12):2952-2965.
    doi: 10.1016/j.bpj.2020.05.015. PMID: 32502383