Biomedical subjects

J E Penzotti

Publications and source records attributed to J E Penzotti.

11 recordsLinked to original sources

PubMed2000

A rapid computational method for lead evolution: description and application to alpha(1)-adrenergic antagonists.

The high failure rate of drugs in the development phase requires a strategy to reduce risks by generating lead candidates from different chemical classes. We describe a new three-dimensional computational approach for lead evolution, based on multiple pharmacophore hypotheses. Using full conformational models for both active and inactive compounds, a large number of pharmacophore hypotheses are analyzed to select the set or "ensemble" of hypotheses that, when combined, is most able to discriminate between active and inactive molecules. The ensemble hypothesis is then used to search virtual chemical libraries to identify compounds for synthesis. This method is very rapid, allowing very large virtual libraries on the order of a million compounds to be filtered efficiently. In applying this method to alpha(1)-adrenergic receptor ligands, we have demonstrated lead evolution from heterocyclic alpha(1)-adrenergic receptor ligands to highly dissimilar active N-substituted glycine compounds. Our results also show that the active N-substituted glycines are part of our smaller filtered library and thus could have been identified by synthesizing only a portion of the N-substituted glycine library.

Adrenergic alpha-Antagonists↗

PubMed1999

Streptavidin-biotin binding energetics.

The high affinity energetics in the streptavidin-biotin system provide an excellent model system for studying how proteins balance enthalpic and entropic components to generate an impressive overall free energy for ligand binding. We review here concerted site-directed mutagenesis, biophysical, and computational studies of aromatic and hydrogen bonding interaction energetics between streptavidin and biotin. These results also have provided insight into how streptavidin builds a large activation barrier to dissociation by managing the enthalpic and entropic activation components. Finally, we review recent studies of the biotin dissociation pathway that address the fundamental question of how ligands exit protein binding pockets.

Binding Sites↗

PubMed1999

A structural snapshot of an intermediate on the streptavidin-biotin dissociation pathway.

It is currently unclear whether small molecules dissociate from a protein binding site along a defined pathway or through a collection of dissociation pathways. We report herein a joint crystallographic, computational, and biophysical study that suggests the Asp-128 --> Ala (D128A) streptavidin mutant closely mimics an intermediate on a well-defined dissociation pathway. Asp-128 is hydrogen bonded to a ureido nitrogen of biotin and also networks with the important aromatic binding contacts Trp-92 and Trp-108. The Asn-23 hydrogen bond to the ureido oxygen of biotin is lengthened to 3.8 A in the D128A structure, and a water molecule has moved into the pocket to replace the missing carboxylate interaction. These alterations are accompanied by the coupled movement of biotin, the flexible binding loop containing Ser-45, and the loop containing the Ser-27 hydrogen bonding contact. This structure closely parallels a key intermediate observed in a potential of mean force-simulated dissociation pathway of native streptavidin, where the Asn-23 hydrogen bond breaks first, accompanied by the replacement of the Asp-128 hydrogen bond by an entering water molecule. Furthermore, both biotin and the flexible loop move in a concerted conformational change that closely approximates the D128A structural changes. The activation and thermodynamic parameters for the D128A mutant were measured and are consistent with an intermediate that has traversed the early portion of the dissociation reaction coordinate through endothermic bond breaking and concomitant gain in configurational entropy. These composite results suggest that the D128A mutant provides a structural "snapshot" of an early intermediate on a relatively well-defined dissociation pathway for biotin.

Biotin↗

PubMed1998

Structural basis of specificity and degeneracy of T cell recognition: pluriallelic restriction of T cell responses to a peptide antigen involves both specific and promiscuous interactions between the T cell receptor, peptide, and HLA-DR.

TCR engagement of peptide-MHC class II ligands involves specific contacts between the TCR and residues on both the MHC and peptide molecules. We have used molecular modeling and assays of peptide binding and T cell function to characterize these interactions for a CD4+ Th1 cell clone, ESL4.34, which recognizes a peptide epitope of the herpes simplex type 2 virus virion protein, VP16 393-405, in the context of several HLA-DR alleles. This clone responded to VP16 393-405 in proliferation and cytotoxicity assays when presented by DRB1*0402, DRB1*1102, and DRB1*1301, which share a common amino acid sequence, ILEDE, at residues 67-71 in the alpha-helical portion of the DRbeta polypeptide, but not when presented by other DR4, DR11, and DR13 alleles that are negative for this sequence. Using a panel of APCs expressing DR4 molecules that were mutagenized in vitro at individual residues within this shared epitope and using peptide analogues with single amino acid substitutions of predicted MHC and TCR contact residues, a unit of recognition was identified dependent on DRbeta residues 67-71 and relative position 4 (P4) of the VP16 393-405 peptide. The interactions of this portion of the peptide-DR ligand with the ESL4.34 TCR support a structural model for MHC-biased recognition in some Ag-specific and alloreactive T cell responses and suggest a possible mechanism for autoreactive T cell selection in rheumatoid arthritis.

Alleles↗

PubMed1998

Structural differences between HLA-DQ molecules associated with myasthenia gravis characterized by molecular modeling.

Myasthenia gravis (MG) is characterized by muscle weakness due to autoimmunity against the nicotinic acetylcholine receptor (nAChR). MG is associated with polymorphisms in HLA-DQ genes and the aim of the present study was to characterize structural differences in the peptide binding groove of HLA-DQ molecules positively and negatively associated with MG. Three dimensional models of the positively associated DQ2 (DQB1*02) and negatively associated DQ6 (DQB1*0603) molecules were constructed by homology modeling techniques. The differences in peptide binding properties were primarily localized to peptide-anchor pockets P7 and P9, which might be of importance for the binding of disease-associated peptides from the nAChR.

HLA-DQ Antigens↗

PubMed1998

A molecular model of myelin oligodendrocyte glycoprotein.

Myelin oligodendrocyte glycoprotein (MOG) is a protein on the surface of myelin sheaths. It is a putative target of the autoimmune attack in the inflammatory and demyelinating CNS disease multiple sclerosis and its animal model, experimental autoimmune encephalomyelitis. MOG belongs to the immunoglobulin superfamily (IgSF), and its extracellular N-terminal domain contains many conserved IgSF consensus residues seen in immunoglobulin variable region folds. The aim of the present study was to create a molecular model of the extracellular N-terminal domain of mouse MOG. No crystal structure is yet available of MOG, and thus a molecular model would be useful in providing insight into its structure and binding characteristics. Molecular graphics techniques and molecular dynamics with secondary structure-based restraints were used in the construction and refinement of the MOG model. Regions of high prediction confidence were identified, and possible glycosylation, dimerization, complement binding, and antibody-binding regions in MOG were mapped and analyzed.

Amino Acid Sequence↗

PubMed1997

Use of T cell receptor/HLA-DRB1*04 molecular modeling to predict site-specific interactions for the DR shared epitope associated with rheumatoid arthritis.

OBJECTIVE: To use molecular modeling tools to analyze the potential structural basis for the genetic association of rheumatoid arthritis (RA) with the major histocompatibility complex (MHC) "shared epitope," a set of conserved amino acid residues in the third hypervariable region of the DRbeta chain. METHODS: Homology model building techniques were used to construct molecular models of the arthritis-associated DRB1*0404 molecule and a T cell receptor (TCR) from T cell clone EM025, which is specific for DR4 molecules containing the shared epitope sequence. Interactive graphics techniques were used to orient the TCR on the DR molecule, guided by surface complementarity analysis. RESULTS: The predicted TCR-MHC-peptide complex involved multiple interactions and specificity for the shared epitope. TCR residues CDR1beta D30, CDR2beta N51, and CDR3beta Q97 were positioned to potentially participate in hydrogen bond interactions with the shared epitope DRbeta residues Q70 and R71. CONCLUSION: These results suggest a structural mechanism in which specific TCR recognition and possibly Vbeta selection are directly influenced by the disease-associated MHC polymorphisms.

Amino Acid Sequence↗

PubMed1997

Statistical analysis of signals from an intracavitary probe in a diseased heart.

A model study introduces the use of statistical signal processing to analyse the signals from an intracavitary probe. A complete derivation is given for the detection of one type of arrhythmogenic substrate, myocardial infarctions (MIs). Both the use of statistical signal processing and the detection of VT substrates, as opposed to activation maps, are unique. A quasi-stationary electromagnetic model with simplified geometry is presented. The model is used to simulate ventricular pacing in the presence of MI. The likelihood ratio is used for detection. A tabulation of the results from this model shows that an intracavitary probe can be used to detect MIs as small as 400 mm2 in 1 mV of noise with a detectability index of 0.495, where 0.5 indicates perfect detection. Sensitivity to noise can be reduced by analysing multiple heart beats. The results are only slightly affected by changing the probe from a cage frame design, which mechanically supports the electrodes on thin spokes, to a balloon design, which supports the electrodes on the surface of an insulating balloon.

Computer Simulation↗

PubMed1996

Three-dimensional models for agonist and antagonist complexes with beta 2 adrenergic receptor.

Computer-modeling techniques have been used to generate docked complexes for a series of beta adrenergic agonists and antagonists with a three-dimensional model of the beta 2 adrenergic receptor. For all ligands tested, it proved possible to dock low-energy conformers in the receptor model, with sensible electrostatic, steric, and hydrogen-bonding interactions, many of which are supported by experimental studies of the beta 2 receptor. Our results illustrate the power of molecular modeling techniques, when coupled with appropriate experimental methods and data, to investigate structure-function properties of integral membrane receptor proteins that cannot yet be studied by direct structural methods.

Adrenergic beta-Agonists↗

PubMed1996

Active site of bee venom phospholipase A2: the role of histidine-34, aspartate-64 and tyrosine-87.

In bee venom phospholipase A2, histidine-34 probably functions as a Brønsted base to deprotonate the attacking water. Aspartate-64 and tyrosine-87 form a hydrogen bonding network with histidine-34. We have prepared mutants at these positions and studied their kinetic properties. The mutant in which histidine-34 is changed to glutamine is catalytically inactive, while the mutants in which aspartate-64 is changed to asparagine or alanine (interfacial turnover numbers are reduced by 50-100-fold) or in which tyrosine-87 is changed to phenylalanine (no change in turnover number) retain good activity. The interfacial Michaelis constants are changed by less than 10-fold for all mutants. Molecular simulations suggest that mutation of aspartate-64 and tyrosine-87 should yield enzymes that retain a native-like structure and support catalysis. The pKa of the histidine-34 imidazole was deduced from the pH-rate profile and from the pH dependence of the rate of histidine-34 alkylation by 2-bromo-4'-nitroacetophenone. The pKa is increased about one-half unit by the tyrosine-87 mutation and reduced about one-half unit by the aspartate-64 to asparagine mutation, while in the aspartate-64 to alanine mutant the pKa is unchanged. These pKas are generally consistent with results of electrostatic calculations and suggest that the hydrogen bond between aspartate-64 and histidine-34 is not unusually strong. The hydrogen bonding network linking tyrosine-87 to aspartate-64 and aspartate-64 to histidine-34 is not critical for catalysis.

Amino Acid Sequence↗

PubMed1996

A structural model for TCR recognition of the HLA class II shared epitope sequence implicated in susceptibility to rheumatoid arthritis.

HLA molecules associated with rheumatoid arthritis (RA) contain a discrete structural element known as the shared epitope, a set of conserved amino acid residues located on the alpha helical portion of the class II beta chain. Each of the different HLA molecules associated with RA contain the same shared epitope sequence, although they may vary markedly in other regions of the class II structure, which also determine peptide-class II interactions. Previous mutagenesis studies and structural modelling indicate that key polymorphic amino acid side chains within the shared epitope sequence are in locations likely to contact the T cell receptor (TCR) during the trimolecular activation reaction between the HLA-peptide complex and TCR. We have evaluated the potential structural basis for such shared epitope recognition by analysing detailed molecular models of the arthritis-associated DRB1*0404 molecule and a T cell receptor from T cell clone EM025, specific for HLA-DR4 molecules which carry the shared epitope. A likely orientation for the trimolecular complex was deduced in which the EM025 alpha chain interacts with the DR alpha chain and the EM025 beta chain interacts with the DR beta chain; residues Q70 and R71 within the DR beta chain shared epitope region are positioned for hydrogen bond interactions directly with Q97 of the TCR beta CDR3 region, D30 of the TCR beta CDR1 region, and possibly N51 of the TCR beta CDR2 region, indicating a degree of specific selection and interaction which encompasses multiple TCR contacts. These findings suggest a structural basis for the genetic associations with the HLA shared epitope and the potential contribution of this region to oligoclonal T cell selection and expansion in RA.

Arthritis, Rheumatoid↗