HLA-DM Stabilizes the Empty MHCII Binding Groove: A Model Using Customized Natural Move Monte Carlo.

Abstract:

:MHC class II molecules bind peptides derived from extracellular proteins that have been ingested by antigen-presenting cells and display them to the immune system. Peptide loading occurs within the antigen-presenting cell and is facilitated by HLA-DM. HLA-DM stabilizes the open conformation of the MHCII binding groove when no peptide is bound. While a structure of the MHCII/HLA-DM complex exists, the mechanism of stabilization is still largely unknown. Here, we applied customized Natural Move Monte Carlo to investigate this interaction. We found a possible long-range mechanism that implicates the configuration of the membrane-proximal globular domains in stabilizing the open state of the empty MHCII binding groove.

journal_name

J Chem Inf Model

authors

Demharter S,Knapp B,Deane C,Minary P

doi

10.1021/acs.jcim.9b00104

subject

Has Abstract

pub_date

2019-06-24 00:00:00

pages

2894-2899

issue

6

eissn

1549-9596

issn

1549-960X

journal_volume

59

pub_type

杂志文章
  • Mechanisms for Flavin-Mediated Oxidation: Hydride or Hydrogen-Atom Transfer?

    abstract::Flavins are versatile biological cofactors which catalyze proton-coupled electron transfers (PCET) with varying number and coupling of electrons. Flavin-mediated oxidations of nicotinamide adenine dinucleotide (NADH) and of succinate, initial redox reactions in cellular respiration, were examined here with multiconfig...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00945

    authors: Curtolo F,Arantes GM

    更新日期:2020-12-28 00:00:00

  • Protein Preparation Automatic Protocol for High-Throughput Inverse Virtual Screening: Accelerating the Target Identification by Computational Methods.

    abstract::Structure-based virtual screening is highly used in the early stages of drug discovery to identify new putative lead compounds for a given target. However, when a small molecule elicits a biological effect, but its target is unknown, or the side effects it causes arise from its undesired interaction with unknown count...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00428

    authors: De Vita S,Lauro G,Ruggiero D,Terracciano S,Riccio R,Bifulco G

    更新日期:2019-11-25 00:00:00

  • LigQ: A Webserver to Select and Prepare Ligands for Virtual Screening.

    abstract::Virtual screening is a powerful methodology to search for new small molecule inhibitors against a desired molecular target. Usually, it involves evaluating thousands of compounds (derived from large databases) in order to select a set of potential binders that will be tested in the wet-lab. The number of tested compou...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00241

    authors: Radusky L,Ruiz-Carmona S,Modenutti C,Barril X,Turjanski AG,Martí MA

    更新日期:2017-08-28 00:00:00

  • Probing fragment complementation by rigid-body docking: in silico reconstitution of calbindin D9k.

    abstract::Fragment complementation is gaining an increasing impact as a nonperturbing method to probe noncovalent interactions within protein supersecondary structures. In this study, the fast Fourier transform rigid-body docking algorithm ZDOCK has been employed for in silico reconstitution of the calcium binding protein calbi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci0501995

    authors: Dell'Orco D,Seeber M,De Benedetti PG,Fanelli F

    更新日期:2005-09-01 00:00:00

  • PiNN: A Python Library for Building Atomic Neural Networks of Molecules and Materials.

    abstract::Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, developing interpretable ANN architectures and implementing existing ones efficiently are still challenging. This call...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00994

    authors: Shao Y,Hellström M,Mitev PD,Knijff L,Zhang C

    更新日期:2020-03-23 00:00:00

  • Learning To Predict Reaction Conditions: Relationships between Solvent, Molecular Structure, and Catalyst.

    abstract::Reaction databases provide a great deal of useful information to assist planning of experiments but do not provide any interpretation or chemical concepts to accompany this information. In this work, reactions are labeled with experimental conditions, and network analysis shows that consistencies within clusters of da...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00313

    authors: Walker E,Kammeraad J,Goetz J,Robo MT,Tewari A,Zimmerman PM

    更新日期:2019-09-23 00:00:00

  • Cross-docking of inhibitors into CDK2 structures. 2.

    abstract::In the preceding paper (Duca, J. S.; Madison, V. S.; Voigt, J. H. J. Chem. Inf. Model. 2008, 48, 659-668), the accuracy of docking and affinity predictions of the Gold and Glide programs were investigated using single protein conformations spanning 150 CDK2/inhibitor crystallographic complexes. High docking accuracy w...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci700428d

    authors: Voigt JH,Elkin C,Madison VS,Duca JS

    更新日期:2008-03-01 00:00:00

  • Multidimensional Drift of Sequence Attributes and Functional Profiles in the Superfamily of the Three-Finger Proteins and Their Structural Homologues.

    abstract::Functional diversity of the three-finger-protein domain (TFPD) had been acquired via hypervariability of some sequence positions and extensive insertion/deletion of short AA-segments that caused multidimensional drift of several sequence attributes such as the overall (HI) and local hydrophobicity levels, the isoelect...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00322

    authors: Galat A

    更新日期:2015-09-28 00:00:00

  • Homology model-guided 3D-QSAR studies of HIV-1 integrase inhibitors.

    abstract::In the present study, we report the exploration of binding modes of potent HIV-1 integrase (IN) inhibitors MK-0518 (raltegravir) and GS-9137 (elvitegravir) as well as chalcone and related amide IN inhibitors we recently synthesized and the development of 3D-QSAR models for integrase inhibition. Homology models of DNA-...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci200485a

    authors: Sharma H,Cheng X,Buolamwini JK

    更新日期:2012-02-27 00:00:00

  • Rigidity Strengthening: A Mechanism for Protein-Ligand Binding.

    abstract::Protein-ligand binding is essential to almost all life processes. The understanding of protein-ligand interactions is fundamentally important to rational drug and protein design. Based on large scale data sets, we show that protein rigidity strengthening or flexibility reduction is a mechanism in protein-ligand bindin...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00226

    authors: Nguyen DD,Xiao T,Wang M,Wei GW

    更新日期:2017-07-24 00:00:00

  • A Coarse-Grained Force Field Parameterized for MgCl2 and CaCl2 Aqueous Solutions.

    abstract::Calcium and magnesium ions play important roles in many physicochemical processes. To facilitate the investigation of phenomena related to these ions that occur over large length and time scales, a coarse-grained force field (CGFF) is developed for MgCl2 and CaCl2 aqueous solutions. The ions are modeled by CG beads wi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00206

    authors: Gong Z,Sun H

    更新日期:2017-07-24 00:00:00

  • In silico prediction of aqueous solubility: the solubility challenge.

    abstract::The dissolution of a chemical into water is a process fundamental to both chemistry and biology. The persistence of a chemical within the environment and the effects of a chemical within the body are dependent primarily upon aqueous solubility. With the well-documented limitations hindering the accurate experimental d...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci900286s

    authors: Hewitt M,Cronin MT,Enoch SJ,Madden JC,Roberts DW,Dearden JC

    更新日期:2009-11-01 00:00:00

  • Get Your Atoms in Order--An Open-Source Implementation of a Novel and Robust Molecular Canonicalization Algorithm.

    abstract::Finding a canonical ordering of the atoms in a molecule is a prerequisite for generating a unique representation of the molecule. The canonicalization of a molecule is usually accomplished by applying some sort of graph relaxation algorithm, the most common of which is the Morgan algorithm. There are known issues with...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00543

    authors: Schneider N,Sayle RA,Landrum GA

    更新日期:2015-10-26 00:00:00

  • Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models.

    abstract::Advances in the development of high-throughput screening and automated chemistry have rapidly accelerated the production of chemical and biological data, much of them freely accessible through literature aggregator services such as ChEMBL and PubChem. Here, we explore how to use this comprehensive mapping of chemical ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00526

    authors: Zakharov AV,Zhao T,Nguyen DT,Peryea T,Sheils T,Yasgar A,Huang R,Southall N,Simeonov A

    更新日期:2019-11-25 00:00:00

  • Full and partial agonism of ionotropic glutamate receptors indicated by molecular dynamics simulations.

    abstract::Ionotropic glutamate receptors (iGluRs) are synaptic proteins that facilitate signal transmission in the central nervous system. Extracellular iGluR cleft closure is linked to receptor activation; however, the mechanism underlying partial agonism is not entirely understood. Full agonists close the bilobed ligand-bindi...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci2000055

    authors: Postila PA,Ylilauri M,Pentikäinen OT

    更新日期:2011-05-23 00:00:00

  • Physicochemical stereodescriptors of atomic chiral centers.

    abstract::Physicochemical atomic stereodescriptors (PAS) were implemented that represent the chirality of an atomic chiral center on the basis of empirical physicochemical properties of the ligands. The ligands are ranked according to a specific property, and the chiral center takes an S/R-like descriptor relative to that prope...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci600235w

    authors: Zhang QY,Aires-de-Sousa J

    更新日期:2006-11-01 00:00:00

  • A Selectivity Study of FFAR4/FFAR1 Agonists by Molecular Modeling.

    abstract::FFAR4 has been considered as a potential target for metabolic diseases, including diabetes. Some compounds with biphenyl scaffold, represented by compound SR13 reported by our group, showed significant FFAR4 selectivity. However, the molecular basis for their selectivity has not been definitely disclosed. This study p...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00735

    authors: Zhang X,Sun H,Wen X,Yuan H

    更新日期:2019-10-28 00:00:00

  • Concept-based semi-automatic classification of drugs.

    abstract::The anatomical therapeutic chemical (ATC) classification system maintained by the World Health Organization provides a global standard for the classification of medical substances and serves as a source for drug repurposing research. Nevertheless, it lacks several drugs that are major players in the global drug market...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci9000844

    authors: Gurulingappa H,Kolárik C,Hofmann-Apitius M,Fluck J

    更新日期:2009-08-01 00:00:00

  • Binding Residence Time through Scaled Molecular Dynamics: A Prospective Application to hDAAO Inhibitors.

    abstract::Traditionally, a drug potency is expressed in terms of thermodynamic quantities, mostly Kd, and empirical IC50 values. Although binding affinity as an estimate of drug activity remains relevant, it is increasingly clear that it is also important to include (un)binding kinetic parameters in the characterization of pote...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.8b00518

    authors: Bernetti M,Rosini E,Mollica L,Masetti M,Pollegioni L,Recanatini M,Cavalli A

    更新日期:2018-11-26 00:00:00

  • What Does the Machine Learn? Knowledge Representations of Chemical Reactivity.

    abstract::In a departure from conventional chemical approaches, data-driven models of chemical reactions have recently been shown to be statistically successful using machine learning. These models, however, are largely black box in character and have not provided the kind of chemical insights that historically advanced the fie...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00721

    authors: Kammeraad JA,Goetz J,Walker EA,Tewari A,Zimmerman PM

    更新日期:2020-03-23 00:00:00

  • Fragment-Based Computational Method for Designing GPCR Ligands.

    abstract::G protein-coupled receptors (GPCRs) are the largest family of cell surface receptors, which is arguably the most important family of drug target. With the technology breakthroughs in X-ray crystallography and cryo-electron microscopy, more than 300 GPCR-ligand complex structures have been publicly reported since 2007,...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00699

    authors: Li Y,Sun Y,Song Y,Dai D,Zhao Z,Zhang Q,Zhong W,Hu LA,Ma Y,Li X,Wang R

    更新日期:2020-09-28 00:00:00

  • TAMkin: a versatile package for vibrational analysis and chemical kinetics.

    abstract::TAMkin is a program for the calculation and analysis of normal modes, thermochemical properties and chemical reaction rates. At present, the output from the frequently applied software programs ADF, CHARMM, CPMD, CP2K, Gaussian, Q-Chem, and VASP can be analyzed. The normal-mode analysis can be performed using a broad ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci100099g

    authors: Ghysels A,Verstraelen T,Hemelsoet K,Waroquier M,Van Speybroeck V

    更新日期:2010-09-27 00:00:00

  • Structural and Sequence Similarity Makes a Significant Impact on Machine-Learning-Based Scoring Functions for Protein-Ligand Interactions.

    abstract::The prediction of protein-ligand binding affinity has recently been improved remarkably by machine-learning-based scoring functions. For example, using a set of simple descriptors representing the atomic distance counts, the RF-Score improves the Pearson correlation coefficient to about 0.8 on the core set of the PDBb...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.7b00049

    authors: Li Y,Yang J

    更新日期:2017-04-24 00:00:00

  • GESSE: Predicting Drug Side Effects from Drug-Target Relationships.

    abstract::The in silico prediction of unwanted side effects (SEs) caused by the promiscuous behavior of drugs and their targets is highly relevant to the pharmaceutical industry. Considerable effort is now being put into computational and experimental screening of several suspected off-target proteins in the hope that SEs might...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.5b00120

    authors: Pérez-Nueno VI,Souchet M,Karaboga AS,Ritchie DW

    更新日期:2015-09-28 00:00:00

  • Multitarget structure-activity relationships characterized by activity-difference maps and consensus similarity measure.

    abstract::Dual and triple activity-difference (DAD/TAD) maps are tools for the systematic characterization of structure-activity relationships (SAR) of compound data sets screened against two or three targets. DAD and TAD maps are two- and three- dimensional representations of the pairwise activity differences of compound data ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci200281v

    authors: Medina-Franco JL,Yongye AB,Pérez-Villanueva J,Houghten RA,Martínez-Mayorga K

    更新日期:2011-09-26 00:00:00

  • Conformational determinants of the activity of antiproliferative factor glycopeptide.

    abstract::The antiproliferative factor (APF) involved in interstitial cystitis is a glycosylated nonapeptide (TVPAAVVVA) containing a sialylated core 1 α-O-disaccharide linked to the N-terminal threonine. The chemical structure of APF was deduced using spectroscopic techniques and confirmed using total synthesis. The synthetic ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/ci400147s

    authors: Mallajosyula SS,Adams KM,Barchi JJ,MacKerell AD

    更新日期:2013-05-24 00:00:00

  • Tautomer Standardization in Chemical Databases: Deriving Business Rules from Quantum Chemistry.

    abstract::Databases of small, potentially bioactive molecules are ubiquitous across the industry and academia. Designed such that each unique compound should appear only once, the multiplicity of ways in which many compounds can be represented means that these databases require methods for standardizing the representation of ch...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.0c00232

    authors: Baker CM,Kidley NJ,Papachristos K,Hotson M,Carson R,Gravestock D,Pouliot M,Harrison J,Dowling A

    更新日期:2020-08-24 00:00:00

  • Critical Assessment of the Hildebrand and Hansen Solubility Parameters for Polymers.

    abstract::Solubility parameter models are widely used to select suitable solvents/nonsolvents for polymers in a variety of processing and engineering applications. In this study, we focus on two well-established models, namely, the Hildebrand and Hansen solubility parameter models. Both models are built on the basis of the noti...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00656

    authors: Venkatram S,Kim C,Chandrasekaran A,Ramprasad R

    更新日期:2019-10-28 00:00:00

  • Customizable Generation of Synthetically Accessible, Local Chemical Subspaces.

    abstract::Screening large libraries of chemicals has been an efficient strategy to discover bioactive compounds; however a portion of the potential for success is limited to the available libraries. Synergizing combinatorial and computational chemistries has emerged as a time-efficient strategy to explore the chemical space mor...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.6b00648

    authors: Pottel J,Moitessier N

    更新日期:2017-03-27 00:00:00

  • Time-Domain Analysis of Molecular Dynamics Trajectories Using Deep Neural Networks: Application to Activity Ranking of Tankyrase Inhibitors.

    abstract::Molecular dynamics simulations provide valuable insights into the behavior of molecular systems. Extending the recent trend of using machine learning techniques to predict physicochemical properties from molecular dynamics data, we propose to consider the trajectories as multidimensional time series represented by 2D ...

    journal_title:Journal of chemical information and modeling

    pub_type: 杂志文章

    doi:10.1021/acs.jcim.9b00135

    authors: Berishvili VP,Perkin VO,Voronkov AE,Radchenko EV,Syed R,Venkata Ramana Reddy C,Pillay V,Kumar P,Choonara YE,Kamal A,Palyulin VA

    更新日期:2019-08-26 00:00:00