QSAR for RNases and theoretic-experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein.
The toxicity and low success of current treatments for Leishmaniosis determines the search of new peptide drugs and/or molecular targets in Leishmania pathogen species (L. infantum and L. major). For example, Ribonucleases (RNases) are enzymes relevant to several biologic processes; then, theoretical and experimental study of the molecular diversity of Peptide Mass Fingerprints (PMFs) of RNases is useful for drug design. This study introduces a methodology that combines QSAR models, 2D-Electrophoresis (2D-E), MALDI-TOF Mass Spectroscopy (MS), BLAST alignment, and Molecular Dynamics (MD) to explore PMFs of RNases. We illustrate this approach by investigating for the first time the PMFs of a new protein of L. infantum. Here we report and compare new versus old predictive models for RNases based on Topological Indices (TIs) of Markov Pseudo-Folding Lattices. These group of indices called Pseudo-folding Lattice 2D-TIs include: Spectral moments pi ( k )(x,y), Mean Electrostatic potentials xi ( k )(x,y), and Entropy measures theta ( k )(x,y). The accuracy of the models (training/cross-validation) was as follows: xi ( k )(x,y)-model (96.0%/91.7%)>pi ( k )(x,y)-model (84.7/83.3) > theta ( k )(x,y)-model (66.0/66.7). We also carried out a 2D-E analysis of biological samples of L. infantum promastigotes focusing on a 2D-E gel spot of one unknown protein with M<20, 100 and pI <7. MASCOT search identified 20 proteins with Mowse score >30, but not one >52 (threshold value), the higher value of 42 was for a probable DNA-directed RNA polymerase. However, we determined experimentally the sequence of more than 140 peptides. We used QSAR models to predict RNase scores for these peptides and BLAST alignment to confirm some results. We also calculated 3D-folding TIs based on MD experiments and compared 2D versus 3D-TIs on molecular phylogenetic analysis of the molecular diversity of these peptides. This combined strategy may be of interest in drug development or target identification.
González-Díaz
Humberto
H
Department of Microbiology and Parasitology, and Department of Organic Chemistry, Faculty of Pharmacy, USC, 15782, Santiago de Compostela, Spain. gonzalezdiazh@yahoo.es
Dea-Ayuela
María A
MA
Pérez-Montoto
Lázaro G
LG
Prado-Prado
Francisco J
FJ
Agüero-Chapín
Guillermín
G
Bolas-Fernández
Francisco
F
Vazquez-Padrón
Roberto I
RI
Ubeira
Florencio M
FM
D002478:Cells, Cultured; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D015180:Electrophoresis, Gel, Two-Dimensional; D018314:Leishmania infantum / Q000737:chemistry* / Q000378:metabolism; D008390:Markov Chains; D056004:Molecular Dynamics Simulation; D010449:Peptide Mapping / Q000379:methods*; D017510:Protein Folding; D015800:Protozoan Proteins / Q000737:chemistry* / Q000378:metabolism; D021281:Quantitative Structure-Activity Relationship; D012260:Ribonucleases / Q000737:chemistry* / Q000378:metabolism; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D015800:Protozoan Proteins; D012260:Ribonucleases