PubMed Health⌕ Search

Biomedical subjects

Jordi Mestres

Publications and source records attributed to Jordi Mestres.

14 recordsLinked to original sources
PubMed2006

FCP: functional coverage of the proteome by structures.

MOTIVATION: Tools and resources for translating the remarkable growth witnessed in recent years in the number of protein structures determined experimentally into actual gain in the functional coverage of the proteome are becoming increasingly necessary. We introduce FCP, a publicly accessible web tool dedicated to analyzing the current state and trends of the population of structures within protein families. FCP offers both graphical and quantitative data on the degree of functional coverage of enzymes and nuclear receptors by existing structures, as well as on the bias observed in the distribution of structures along their respective functional classification schemes. AVAILABILITY: http://cgl.imim.es/fcp CONTACT: jmestres@imim.es.

Algorithms↗
PubMed2005

Mutual induced fit in cyclodextrin-rocuronium complexes.

The binding of rocuronium bromide to 6-perdeoxy-6-per(4-carboxyphenyl)thio-gamma-cyclodextrin sodium salt, displays biphasic behaviour characteristic of the formation of a binary and 2 : 1 ternary guest-host complex in aqueous solution. Thermodynamic and structural data on this sequential complexation process can be rationalised within a single model involving switching of the conformational equilibria of both the rocuronium bromide and cyclodextrin molecules. Isothermal titration calorimetry (ITC), NMR and fluorescence experiments in solution, together with X-ray crystallography and molecular modelling, suggest that in order to induce encapsulation both rocuronium bromide and the modified cyclodextrin undergo conformational changes. Ring A of rocuronium bromide 'switches' from the more sterically encumbered chair to the sterically less demanding twist-boat, whilst the modified cyclodextrin "opens" its cavity to allow the steroid to enter. The recognition and mutual induced fit between cyclodextrin and steroid represents a classic example of dynamic host-guest chemistry.

Androstanols↗
PubMed2005

Structure conservation in cytochromes P450.

The recent availability of crystal structures for several diverse cytochromes P450 (CYPs) offers the possibility to perform an up-to-date comparative analysis to identify the degree of structure conservation among this superfamily of enzymes specially relevant for their involvement in drug metabolism and toxicity. A set of 9 CYPs sharing between 10% and 27% sequence identity was selected, including 7 class I (CYP 101, 107, 108, 119, 121, 51, and 55) and two class II (CYP 102, and 2C5) structures. After obtaining a multiprotein structure superimposition, a structure-based sequence alignment was derived. Mapping the level of three-dimensional structural conservation onto the sequence alignment revealed that over 28% of the alignment positions have the Calpha carbons of their residues within a root-mean-square deviation (RMSD) of 2 A. This degree of structure conservation is found to be generally preserved, even when the structure undergoes dramatic conformational changes. Performing the analysis on 4 members of the CYP2 family (CYP 2B4, 2C5, 2C8, and 2C9), the percentage of alignment positions within 2 A RMSD amounted to 73%, increasing to over 85% when only structures in a closed conformation are considered. The present findings suggest that it should be plausible to derive models of overall good quality for the major CYP2 metabolizing forms (CYP 2A6, 2C19, 2D6, and 2E1), whereas high levels of uncertainty are still likely to be expected in models for the remaining 2 major P450 metabolizing forms (CYP 1A2 and 3A4), with the corresponding implications for their potential applicability in drug design activities.

Amino Acid Motifs↗
PubMed2005

Certification of occupational diseases as common diseases in a primary health care setting.

BACKGROUND: It is often difficult to discern whether a disease is an occupational or common disease, especially in a primary care setting. METHODS: From a randomly selected sample of 322 workers attending a Primary Health Care Center, 207 workers (response rate of 64.3%) agreed to participate. An occupational questionnaire was administered. General practitioners provided medical records for each worker. Medical records and occupational questionnaires were independently reviewed by three professionals. They assessed whether a relationship between disease and working conditions was probable or improbable. RESULTS: Thirty-three of the 207 cases (15.9%) were considered probably related to working conditions according to the expert's opinion. The most frequent were musculoskeletal diseases (20 cases). Of the 207 workers, 74 (35.7%) judged that their diseases could be related to their working conditions. CONCLUSIONS: A significant proportion of diseases attended in primary care setting was not recognized as occupational, and they were hence not reflected in official statistics.

Adult↗
PubMed2005

Representativity of target families in the Protein Data Bank: impact for family-directed structure-based drug discovery.

Analysis of the population of enzyme structures in the Protein Data Bank across all levels of the functional classification based on enzyme commission (EC) numbers reveals that, in spite of the almost exponential growth in the number of structures deposited, progress in achieving complete occupancy at all EC levels is relatively slow. Moreover, inspection of the distribution of the population among the members of the different enzyme families uncovers a strong bias towards enzymes widely recognized as therapeutically relevant targets. The low representativity levels identified in some target families warn on the current scope and applicability of structure-based approaches to family-directed strategies in drug discovery.

Databases, Protein↗
PubMed2005

Chemical and biological profiling of an annotated compound library directed to the nuclear receptor family.

Nuclear receptors form a family of ligand-activated transcription factors that regulate a wide variety of biological processes and are thus generally considered relevant targets in drug discovery. We have constructed an annotated compound library directed to nuclear receptors (NRacl) as a means for integrating the chemical and biological data being generated within this family. Special care has been put in the appropriate storage of annotations by using hierarchical classification schemes for both molecules and nuclear receptors, which takes the ability to extract knowledge from annotated compound libraries to another level. Analysis of NRacl has ultimately led to the identification of scaffolds with highly promiscuous nuclear receptor profiles and to the classification of nuclear receptor groups with similar scaffold promiscuity patterns. This information can be exploited in the design of probing libraries for deorphanization activities as well as for devising screening batteries to address selectivity issues.

Combinatorial Chemistry Techniques↗
PubMed2004

Unsupervised guided docking of covalently bound ligands.

An approach for docking covalently bound ligands in protein enzymes or receptors was implemented in MacDOCK, a similarity-driven docking program based on DOCK 4.0. This approach was tested with a small number of covalent ligand-protein structures, using both native and non-native protein structures. In all cases, MacDOCK was able to generate orientations consistent with the known covalent binding mode of these complexes, with a performance similar to that of other docking programs. This method was also applied to search for known covalent thrombin inhibitors in a medium-sized molecular database (ca. 11,000 compounds). Detection of functional groups suitable for covalent docking was carried out automatically. A significant enrichment in known active molecules in the first 5% of the database was obtained, showing that MacDOCK can be used efficiently for the virtual screening of covalently bound ligands.

Computer Simulation↗
PubMed2004

Guided docking approaches to structure-based design and screening.

With the number of protein-ligand complexes available in the Protein Data Bank constantly growing, structure-based approaches to drug design and screening have become increasingly important. Alongside this explosion of structural information, a number of molecular docking methods have been developed over the last years with the aim of maximally exploiting all available structural and chemical information that can be derived from proteins, from ligands, and from protein-ligand complexes. In this respect, the term 'guided docking' is introduced to refer to docking approaches that incorporate some degree of chemical information to actively guide the orientation of the ligand into the binding site. To reflect the focus on the use of chemical information, a classification scheme for guided docking approaches is proposed. In general terms, guided docking approaches can be divided into indirect and direct approaches. Indirect approaches incorporate chemical information implicitly, having an effect on scoring but not on orienting the ligand during sampling. In contrast, direct approaches incorporate chemical information explicitly, thus actively guiding the orientation of the ligand during sampling. Direct approaches can be further divided into protein-based, mapping-based, and ligand-based approaches to reflect the source used to derive the features capturing the chemical information inside the protein cavity. Within each category, a representative list of docking approaches is discussed. In view of the limitations of current scoring functions, it was generally found that making optimal use of chemical information represents an efficient knowledge-based strategy for improving binding affinity estimations, ligand binding-mode predictions, and virtual screening enrichments obtained from protein-ligand docking.

Binding Sites↗
PubMed2004

Computational chemogenomics approaches to systematic knowledge-based drug discovery.

Chemogenomics, the identification of all possible drugs for all possible targets, has recently emerged as a new paradigm in drug discovery in which efficiency in the compound design and optimization process is achieved through the gain and reuse of targeted knowledge. As targeted knowledge resides at the interface between chemistry and biology, computational tools aimed at integrating the chemical and biological spaces play a central role in chemogenomics. This review covers the recent progress made in integrative computational approaches to data annotation and knowledge generation for the systematic knowledge-based design and screening of chemical libraries.

Chemistry, Pharmaceutical↗
PubMed2003

Exploring the active site of human factor Xa protein by NMR screening of small molecule probes.

A collection of small molecules (MW < 350 Da) was screened for binding to human factor Xa using saturation transfer difference NMR spectroscopy to detect binding. The NMR screening experiments identified four hits. Binding isotherms constructed from NMR linewidth data showed that the binding affinities of the hits were all in the 30-210 microM range. Competition binding experiments showed that three of the ligands were displaced by a known microM inhibitor of factor Xa. The success of the method for identifying new ligands and the relevance of this information to the design of new factor Xa inhibitors are discussed.

Binding Sites↗
PubMed2003

Identification of "latent hits" in compound screening collections.

The relatively low hit rates found from high-throughput screening have raised a question on whether this technology alone is sufficient to maximally exploit the full potential of current corporate screening collections. The present study introduces a knowledge-based strategy for identifying "latent hits", i.e., inactive compounds that could potentially be promoted to hits through simple chemical transformations. Examples are given of submicromolar agonist hits derived from the corresponding latent hits for the estrogen receptor.

Animals↗
PubMedDate not supplied

SHED: Shannon entropy descriptors from topological feature distributions.

A novel set of molecular descriptors called SHED (SHannon Entropy Descriptors) is presented. They are derived from distributions of atom-centered feature pairs extracted directly from the topology of molecules. The value of a SHED is then obtained by applying the information-theoretical concept of Shannon entropy to quantify the variability in a feature-pair distribution. The collection of SHED values reflecting the overall distribution of pharmacophoric features in a molecule constitutes its SHED profile. Similarity between pairs of molecules is then assessed by calculating the Euclidean distance of their SHED profiles. Under the assumption that molecules having similar pharmacological profiles should contain similar features distributed in a similar manner, examples are given to show the ability of SHED for scaffold hopping in virtual chemical screening and pharmacological profiling compared to that of substructural BCI fingerprints and three-dimensional GRIND descriptors.

Combinatorial Chemistry Techniques↗
PubMedDate not supplied

Ligand-based approach to in silico pharmacology: nuclear receptor profiling.

Bioactive ligands are a valuable and increasingly accessible source of information about protein targets. On the basis of this statement, a list of 25 nuclear receptors was described by a series of bioactive ligands extracted directly from bibliographical sources, stored properly in an annotated chemical library, and mathematically represented using the recently reported SHED molecular descriptors. Analysis of this ligand information allowed for derivation of a threshold of nuclear receptor concern. If the similarity of one molecule to any of the molecules annotated to one particular nuclear receptor is below that threshold, the molecule receives an alert on the probability of having affinity below 10 microM for that nuclear receptor. On this basis, a linkage map was constructed that reveals the interaction network of nuclear receptors from the perspective of their active ligands. This ligand-based approach to nuclear receptor profiling was subsequently applied to four external chemical libraries of 10,000 molecules targeted to proteases, kinases, ion channels, and G protein-coupled receptors. The percentage of each library that returned an alert on at least one nuclear receptor was reasonably low and varied between 4.4 and 9.7%. In addition, ligand-based nuclear receptor profiling of a set of 2944 drugs provided an alert for 153 drugs. For some of them, namely, acitretin, telmisartan, phenyltoloxamine, tazarotene, and flumazenil, bibliographical evidence could be found indicating that those drugs may indeed have some potential off-target residual affinity for the nuclear receptors annotated. Overall, the present findings suggest that ligand-based approaches to protein family profiling appear as a promising means toward the establishment of novel tools for in silico pharmacology.

Animals↗