Search Results - "Penzotti, Julie E."

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  1. 1

    A Computational Ensemble Pharmacophore Model for Identifying Substrates of P-Glycoprotein by Penzotti, Julie E, Lamb, Michelle L, Evensen, Erik, Grootenhuis, Peter D. J

    Published in Journal of medicinal chemistry (25-04-2002)
    “…P-glycoprotein (P-gp) functions as a drug efflux pump, mediating multidrug resistance and limiting the efficacy of many drugs. Clearly, identification of…”
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    Journal Article
  2. 2

    A Rapid Computational Method for Lead Evolution:  Description and Application to α1-Adrenergic Antagonists by Bradley, Erin K, Beroza, Paul, Penzotti, Julie E, Grootenhuis, Peter D. J, Spellmeyer, David C, Miller, Jennifer L

    Published in Journal of medicinal chemistry (13-07-2000)
    “…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…”
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    Journal Article
  3. 3

    A Structural Snapshot of an Intermediate on the Streptavidin-Biotin Dissociation Pathway by Freitag, Stefanie, Chu, Vano, Penzotti, Julie E., Klumb, Lisa A., To, Richard, Hyre, David, Le Trong, Isolde, Lybrand, Terry P., Stenkamp, Ronald E., Stayton, Patrick S.

    “…It is currently unclear whether small molecules dissociate from a protein binding site along a defined pathway or through a collection of dissociation…”
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    Journal Article
  4. 4

    Active Site of Bee Venom Phospholipase A2:  The Role of Histidine-34, Aspartate-64 and Tyrosine-87 by Annand, Robert R, Kontoyianni, Maria, Penzotti, Julie E, Dudler, Thomas, Lybrand, Terry P, Gelb, Michael H

    Published in Biochemistry (Easton) (09-04-1996)
    “…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…”
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    Journal Article
  5. 5

    Feature-map vectors: a new class of informative descriptors for computational drug discovery by Landrum, Gregory A, Penzotti, Julie E, Putta, Santosh

    Published in Journal of computer-aided molecular design (01-12-2006)
    “…In order to develop robust machine-learning or statistical models for predicting biological activity, descriptors that capture the essence of the…”
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    Journal Article
  6. 6

    Conformation Mining:  An Algorithm for Finding Biologically Relevant Conformations by Putta, Santosh, Landrum, Gregory A, Penzotti, Julie E

    Published in Journal of medicinal chemistry (05-05-2005)
    “…Discovering essential features shared by active compounds, an important step in drug-design, is complicated by conformational flexibility. We present a new…”
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    Journal Article
  7. 7

    Early mechanistic events in biotin dissociation from streptavidin by Stenkamp, Ronald E, Lybrand, Terry P, Stayton, Patrick S, Hyre, David E, Amon, Lynn M, Penzotti, Julie E, Le Trong, Isolde

    Published in Nature structural biology (01-08-2002)
    “…The streptavidin-biotin system has provided a unique opportunity to investigate the molecular details of ligand dissociation pathways. An underlying…”
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    Journal Article
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    Three-Dimensional Models for Agonist and Antagonist Complexes with β2 Adrenergic Receptor by Kontoyianni, Maria, DeWeese, Carol, Penzotti, Julie E, Lybrand, Terry P

    Published in Journal of medicinal chemistry (25-10-1996)
    “…Computer-modeling techniques have been used to generate docked complexes for a series of β adrenergic agonists and antagonists with a three-dimensional model…”
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    Journal Article
  11. 11

    A Molecular Model of Myelin Oligodendrocyte Glycoprotein by Hjelmström, Peter, Penzotti, Julie E., Henne, Randal M., Lybrand, Terry P.

    Published in Journal of neurochemistry (01-10-1998)
    “…: 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…”
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    Journal Article
  12. 12

    Predicting ADME properties and side effects: the BioPrint approach by Krejsa, Cecile M, Horvath, Dragos, Rogalski, Sherri L, Penzotti, Julie E, Mao, Boryeu, Barbosa, Frédérique, Migeon, Jacques C

    “…Computational methods are increasingly used to streamline and enhance the lead discovery and optimization process. However, accurate prediction of absorption,…”
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    Journal Article
  13. 13

    Building predictive ADMET models for early decisions in drug discovery by Penzotti, Julie E, Landrum, Gregory A, Putta, Santosh

    “…This review discusses the current challenges facing researchers developing computational models to predict absorption, distribution, metabolism, excretion and…”
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    Journal Article
  14. 14

    Streptavidin–biotin binding energetics by Stayton, Patrick S, Freitag, Stefanie, Klumb, Lisa A, Chilkoti, Ashutosh, Chu, Vano, Penzotti, Julie E, To, Richard, Hyre, David, Le Trong, Isolde, Lybrand, Terry P, Stenkamp, Ronald E

    Published in Biomolecular engineering (31-12-1999)
    “…The high affinity energetics in the streptavidin–biotin system provide an excellent model system for studying how proteins balance enthalpic and entropic…”
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    Journal Article
  15. 15

    A generalized electrocardiographic spherical shells model with emphasis on the paced infarcted heart by Juhlin, S.P., Malkin, R.A., Penzotti, J.E., Pilkington, T.C., Plonsey, R.

    “…The spherical shells model (SSM) is a useful tool for qualitative investigations of the electrical events in the thorax during a heart beat. The authors…”
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    Conference Proceeding
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    A Structural Model for TCR Recognition of the HLA Class II Shared Epitope Sequence Implicated in Susceptibility to Rheumatoid Arthritis by Penzotti, Julie E., Doherty, Derek, Lybrand, Terry P., Nepom, Gerald T.

    Published in Journal of autoimmunity (01-04-1996)
    “…HLA molecules associated with rheumatoid arthritis (RA) contain a discrete structural element known as the shared epitope, a set of conserved amino acid…”
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    Journal Article
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    Three-dimensional models for agonist and antagonist complexes with beta 2 adrenergic receptor by Kontoyianni, M, DeWeese, C, Penzotti, J E, Lybrand, T P

    Published in Journal of medicinal chemistry (25-10-1996)
    “…Computer-modeling techniques have been used to generate docked complexes for a series of beta adrenergic agonists and antagonists with a three-dimensional…”
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    Journal Article
  20. 20

    Use of T cell receptor/HLA-DRB104 molecular modeling to predict site-specific interactions for the DR shared epitope associated with rheumatoid arthritis by Penzotti, J E, Nepom, G T, Lybrand, T P

    Published in Arthritis and rheumatism (01-07-1997)
    “…To use molecular modeling tools to analyze the potential structural basis for the genetic association of rheumatoid arthritis (RA) with the major…”
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    Journal Article