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Miquel Pons

Publications and source records attributed to Miquel Pons.

25 records · Page 2Linked to original sources
PubMed2002

Supramolecular properties of the proline-rich gamma-Zein N-terminal domain.

Zeins are maize storages proteins that accumulate inside large vesicles called protein bodies. gamma-Zein lines the inner face of the protein body membrane, and its N-terminal proline-rich repetitive domain with the sequence (VHLPPP)(8) appears to be necessary for the accumulation of the protein within the organelle. Synthetic (VHLPPP)(8) adopts an amphipathic polyproline II conformation. In a preliminary recent work we used atomic force microscopy to study the surface organization of the octamer and transmission electron microscopy to visualize aggregates of the peptide from aqueous solution. We previously envisioned two self-assembly models (i.e., the geometric and the micellar) that take into account the observed features. In the present work we studied in detail the self-assembly of the peptide in solution and found that the peptide is able to form cylindrical micelles. Fibrils formed on graphite are generated by assembly of solution micelles. Based on the results of these studies, we focused exclusively on the micellar model. To our knowledge we have characterized for the first time supramolecular aggregates of polyproline structures other than collagen. The spontaneous arrangement of (VHLPPP)(8) suggests a role for the N-terminal domain of gamma-zein in the process of the whole protein deposition in protein bodies.

Biophysical Phenomena↗
PubMed2002

Interpretation of 15N NMR relaxation data of globular proteins using hydrodynamic calculations with HYDRONMR.

HYDRONMR is an implementation of state of the art hydrodynamic modeling to calculate the spectral density functions for NH or C(alpha)-H vectors in a rigid protein structure starting from an atomic level representation. Thus HYDRONMR can be used to predict NMR relaxation times from a rigid model and to compare them with the experimental results. HYDRONMR contains a single adjustable parameter, the atomic element radius. A protocol to determine the value that gives the best agreement between calculated and experimental T1/T2 values is described. For most proteins, the value of the atomic element radius ranges between 2.8 A and 3.8 A with a distribution centered at 3.3 A. Deviations from the usual range towards larger values are associated to aggregation in several proteins. Deviations to lower values may be related to large-scale motions or inappropriate model structures. If the average structure is correct, deviations between experimental T1/T2 values and those calculated with HYDRONMR can be used to distinguish residues affected by anisotropic motion from those that are involved in chemical exchange.

Algorithms↗
PubMed1996

Convergent Synthesis of Repeating Peptides (Val-X-Leu-Pro-Pro-Pro)(8) Adopting a Polyproline II Conformation.

The N-terminal domain of maize gamma-zein has a repetitive structure (Val-His-Leu-Pro-Pro-Pro)(8) that has recently been shown to adopt an amphipathic polyproline II type conformation in aqueous solution. We report here the synthesis and conformational analysis of three model peptides (Val-X-Leu-Pro-Pro-Pro)(8) (X = Ala (1), Glu (2), Lys (3)). The three compounds have been synthesized in a very efficient way using a convergent solid-phase strategy. Circular dichroism shows unequivocally that the three model peptides adopt polyproline II (PPII) type conformations under a variety of experimental conditions and that neither the presence of histidine nor amphipathicity of the peptide is an absolute requirement for adopting the native conformation. These results open the door for the de novo design of compounds with PPII conformations and must be taken into account in the structure prediction of protein structures from sequence data banks.

Journal Article↗
PubMedDate not supplied

Macromolecular crowding in biological systems: hydrodynamics and NMR methods.

Most biologically relevant environments involve highly concentrated macromolecular solutions and most biological processes involve macromolecules that diffuse and interact with other macromolecules. Macromolecular crowding is a general phenomenon that strongly affects the transport properties of macromolecules (rotational and translational diffusion) as well as the position of their equilibria. NMR methods can provide information on molecular interactions, as well as on translational and rotational diffusion. In fact, rotational diffusion, through its determinant role in NMR relaxation, places a practical limit on the systems that can be studied by NMR. While in dilute solutions of non-aggregating macromolecules this limit is set by macromolecular size, in crowded solutions excluded volume effects can have a strong effect on the observed diffusion rates. Hydrodynamic theory offers some insight into the magnitude of crowding effects on NMR observable parameters.

DNA↗
PubMedDate not supplied

LINGO, an efficient holographic text based method to calculate biophysical properties and intermolecular similarities.

SMILES strings are the most compact text based molecular representations. Implicitly they contain the information needed to compute all kinds of molecular structures and, thus, molecular properties derived from these structures. We show that this implicit information can be accessed directly at SMILES string level without the need to apply explicit time-consuming conversion of the SMILES strings into molecular graphs or 3D structures with subsequent 2D or 3D QSPR calculations. Our method is based on the fragmentation of SMILES strings into overlapping substrings of a defined size that we call LINGOs. The integral set of LINGOs derived from a given SMILES string, the LINGO profile, is a hologram of the SMILES representation of the molecule described. LINGO profiles provide input for QSPR models and the calculation of intermolecular similarities at very low computational cost. The octanol/water partition coefficient (LlogP) QSPR model achieved a correlation coefficient R2=0.93, a root-mean-square error RRMS=0.49 log units, a goodness of prediction correlation coefficient Q2=0.89 and a QRMS=0.61 log units. The intrinsic aqueous solubility (LlogS) QSPR model achieved correlation coefficient values of R2=0.91, Q2=0.82, and RRMS=0.60 and QRMS=0.89 log units. Integral Tanimoto coefficients computed from LINGO profiles provided sharp discrimination between random and bioisoster pairs extracted from Accelrys Bioster Database. Average similarities (LINGOsim) were 0.07 for the random pairs and 0.36 for the bioisosteric pairs.

Biophysical Phenomena↗
PubMedDate not supplied

A novel search engine for virtual screening of very large databases.

Virtual screening of large chemical databases using the structure of the receptor can be computationally very demanding. We present a novel strategy that combines exhaustive similarity searches directly in SMILES format with the docking of flexible ligands, whose 3D structure is generated on the fly from the SMILES representation. Our strategy makes use of the recently developed LINGO tools to extract implicit chemical information from SMILES strings and integrates LINGO similarities into a pseudo-evolutionary algorithm. The algorithm represents a combination of a fast target-independent similarity method with a slower but information richer target-focused method. A virtual search of FactorXa ligands provided 62% of the potential hits after docking only 6.5% of a database of nearly 1 million molecules. The set of solutions showed good diversity, indicating that the method shows good scaffold hopping capabilities.

Algorithms↗