Biomedical subjects

Pawel Smialowski

Publications and source records attributed to Pawel Smialowski.

6 recordsLinked to original sources

PubMed2006

Protein solubility: sequence based prediction and experimental verification.

MOTIVATION: Obtaining soluble proteins in sufficient concentrations is a recurring limiting factor in various experimental studies. Solubility is an individual trait of proteins which, under a given set of experimental conditions, is determined by their amino acid sequence. Accurate theoretical prediction of solubility from sequence is instrumental for setting priorities on targets in large-scale proteomics projects. RESULTS: We present a machine-learning approach called PROSO to assess the chance of a protein to be soluble upon heterologous expression in Escherichia coli based on its amino acid composition. The classification algorithm is organized as a two-layered structure in which the output of primary support vector machine (SVM) classifiers serves as input for a secondary Naive Bayes classifier. Experimental progress information from the TargetDB database as well as previously published datasets were used as the source of training data. In comparison with previously published methods our classification algorithm possesses improved discriminatory capacity characterized by the Matthews Correlation Coefficient (MCC) of 0.434 between predicted and known solubility states and the overall prediction accuracy of 72% (75 and 68% for positive and negative class, respectively). We also provide experimental verification of our predictions using solubility measurements for 31 mutational variants of two different proteins.

Amino Acid Sequence↗

PubMed2006

Structure of the N-terminal domain of the FOP (FGFR1OP) protein and implications for its dimerization and centrosomal localization.

The fibroblast growth factor receptor 1 (FGFR1) oncogene partner, FOP, is a centrosomal protein that is involved in the anchoring of microtubules (MTS) to subcellular structures. The protein was originally discovered as a fusion partner with FGFR1 in oncoproteins that give rise to stem cell myeloproliferative disorders. A subsequent proteomics screen identified FOP as a component of the centrosome. FOP contains a Lis-homology (LisH) motif found in more than 100 eukaryotic proteins. LisH motifs are believed to be involved in microtubule dynamics and organization, cell migration, and chromosome segregation; several of them are associated with genetic diseases. We report here a 1.6A resolution crystal structure of the N-terminal dimerization domain of FOP. The structure comprises an alpha-helical bundle composed of two antiparallel chains, each of them having five alpha-helices. The central part of the dimer contains the LisH domain. We further determined that the FOP LisH domain is part of a longer N-terminal segment that is required, albeit not sufficient, for dimerization and centrosomal localization of FOP.

Amino Acid Motifs↗

PubMed2006

Will my protein crystallize? A sequence-based predictor.

We propose a machine-learning approach to sequence-based prediction of protein crystallizability in which we exploit subtle differences between proteins whose structures were solved by X-ray analysis [or by both X-ray and nuclear magnetic resonance (NMR) spectroscopy] and those proteins whose structures were solved by NMR spectroscopy alone. Because the NMR technique is usually applied on relatively small proteins, sequence length distributions of the X-ray and NMR datasets were adjusted to avoid predictions biased by protein size. As feature space for classification, we used frequencies of mono-, di-, and tripeptides represented by the original 20-letter amino acid alphabet as well as by several reduced alphabets in which amino acids were grouped by their physicochemical and structural properties. The classification algorithm was constructed as a two-layered structure in which the output of primary support vector machine classifiers operating on peptide frequencies was combined by a second-level Naive Bayes classifier. Due to the application of metamethods for cost sensitivity, our method is able to handle real datasets with unbalanced class representation. An overall prediction accuracy of 67% [65% on the positive (crystallizable) and 69% on the negative (noncrystallizable) class] was achieved in a 10-fold cross-validation experiment, indicating that the proposed algorithm may be a valuable tool for more efficient target selection in structural genomics. A Web server for protein crystallizability prediction called SECRET is available at http://webclu.bio.wzw.tum.de:8080/secret.

Amino Acid Sequence↗

PubMed2005

NMR and mass spectrometry studies of putative interactions of cell cycle proteins pRb and CDK6 with cell differentiation proteins MyoD and ID-2.

Cell growth and differentiation require precise coordination of cell cycle and differentiation proteins. This can be achieved by direct interactions between proteins, by indirect interaction in multiprotein complexes, or by modulation of gene expression levels of partner proteins. Contradictory data abound in the literature regarding the binding between some central cell cycle proteins, pRb, and CDK6, with myogenic differentiation promoting, MyoD, and inhibiting, Id-2, factors. We have tested these interactions using pure proteins and in vitro biophysical and biochemical methods, which included mass spectrometry, nuclear magnetic resonance (NMR), the affinity chromatography pull-down assays, and gel filtration chromatography. Using this multimethod approach, we were able to document interactions between pRb and HPV-E7, pRb and SV40 large T antigen, CDK6 and p19, and MyoD and DNA. Using the same methods, we could unambiguously show that there is no direct protein-protein interaction in vitro between the small pocket domain of pRb and the bHLH domain of MyoD, the small pocket domain of pRb and Id-2, and CDK6 and a 15-amino-acid peptide from the C-terminal domain of MyoD. Indirect interactions, through additional binding partners in multiprotein complexes or modulation of gene expression levels of these proteins, are therefore their probable mode of action.

Animals↗

PubMed2003

Backbone dynamics of green fluorescent protein and the effect of histidine 148 substitution.

Green fluorescent protein (GFP) and its mutants have become valuable tools in molecular biology. GFP has been regarded as a very stable and rigid protein with the beta-barrel shielding the chromophore from the solvent. Here, we report the 15N nuclear magnetic resonance (NMR) studies on the green fluorescent protein (GFPuv) and its mutant His148Gly. 15N NMR relaxation studies of GFPuv show that most of the beta-barrel of GFP is rigid on the picosecond to nanosecond time scale. For several regions, including the first alpha-helix and beta-sheets 3, 7, 8, and 10, increased hydrogen-deuterium exchange rates suggest a substantial conformational flexibility on the microsecond to millisecond time scales. Mutation of residue 148 located in beta-sheet 7 is known to have a strong impact on the fluorescence properties of GFPs. UV absorption and fluorescence spectra in combination with 1H-15N NMR spectra indicate that the His148Gly mutation not only reduces the absorption of the anionic chromophore state but also affects the conformational stability, leading to the appearance of doubled backbone amide resonances for a number of residues. This suggests the presence of two conformations in slow exchange on the NMR time scale in this mutant.

Amino Acid Sequence↗

PubMed2002

Slow exchange in the chromophore of a green fluorescent protein variant.

Green fluorescent protein and its mutants have become valuable tools in molecular biology. They also provide systems rich in photophysical and photochemical phenomena of which an understanding is important for the development of new and optimized variants of GFP. Surprisingly, not a single NMR study has been reported on GFPs until now, possibly because of their high tendency to aggregate. Here, we report the (19)F nuclear magnetic resonance (NMR) studies on mutants of the green fluorescent protein (GFP) and cyan fluorescent protein (CFP) labeled with fluorinated tryptophans that enabled the detection of slow molecular motions in these proteins. The concerted use of dynamic NMR and (19)F relaxation measurements, supported by temperature, concentration- and folding-dependent experiments provides direct evidence for the existence of a slow exchange process between two different conformational states of CFP. (19)F NMR relaxation and line shape analysis indicate that the time scale of exchange between these states is in the range of 1.2-1.4 ms. Thermodynamic analysis revealed a difference in enthalpy (Delta)H(0) = (18.2 +/- 3.8) kJ/mol and entropy T(Delta)S(0) = (19.6 +/- 1.2) kJ/mol at T = 303 K for the two states involved in the exchange process, indicating an entropy-enthalpy compensation. The free energy of activation was estimated to be approximately 60 kJ/mol. Exchange between two conformations, either of the chromophore itself or more likely of the closely related histidine 148, is suggested to be the structural process underlying the conformational mobility of GFPs. The possibility to generate a series of single-atom exchanges ("atomic mutations") like H --> F in this study offers a useful approach for characterizing and quantifying dynamic processes in proteins by NMR.

Fluorine↗