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Enregistrement W920621629

Molecular Modeling of Ions in Biological Systems

2015· dissertation· en· W920621629 sur OpenAlexfundno aff
Esam A. Orabi

Notice bibliographique

RevueSpectrum Research Repository (Concordia University) · 2015
Typedissertation
Langueen
DomaineChemistry
ThématiqueVarious Chemistry Research Topics
Établissements canadiensnon disponible
Organismes subventionnairesConcordia University
Mots-clésChemistryAmino acidMetal ions in aqueous solutionSide chainSelectivityCombinatorial chemistryIonCatalysisBiochemistryOrganic chemistry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Ions are ubiquitous in biological systems. Metal ions contribute to biological function as counter ions, as triggers to cellular response, and as catalytic cofactors. They play structural roles and are part of the catalytic active site of metalloenzymes. NH4+ ions provide a source of nitrogen for amino acid synthesis in plants and bacteria and help maintaining the acid-base balance in mammals. The cationic side chains of amino acids Lys and Arg contribute to the stability of proteins and protein-DNA complexes through cation–π interactions with the π electrons of aromatic amino acids.
\nDeveloping molecular models for ion-protein interactions is required to investigate and understand the various biological functions of ions and to complement and interpret experimental data. In this regard, the aims of this thesis are to: 1- Investigate the selectivity of alkali ions toward N, O, and S-containing ligands (a step toward understanding protein selectivity to metal ions). 2- Optimize new semiempirical quantum mechanical models for calcium and magnesium metalloproteins. 3- Study the strength and directionality of cation–π interactions involving inorganic and organic cations interacting with model compounds of aromatic amino acid side chains in both gas phase and aqueous solution. 4- Investigate the selectivity and binding affinity of AmtB and RhCG ammonium transport proteins toward various ions and study the function of amino acids that line the transport pathway of these proteins.
\nProteins bind metal ions through N, O, and S atoms from the side chains of the amino acids His, Asp, Glu, Ser, Tyr, Asn, Gln, Cys, and Met and from main chain carbonyl and amino groups. NH3, H2O, and H2S are used as minimal models for N, O, and S ligands to investigate the selectivity of alkali metal ions. Polarizable potential models for NH3 and H2S that accurately reproduce the experimental properties of the pure and aqueous liquids are developed. The models are used, together with a previously developed model for water, to study the solvation structures and solvation free energies of the ions in the pure liquids and to investigate the selectivity of alkali ions toward the three ligands. The models yield solvation structures and solvation free energies in good agreement with experiments and show a selectivity of alkali ions toward the three ligands that follows the order H2O > NH3 > H2S.
\nMagnesium and Calcium are two of the most bioavailable metals and are known to play roles in signal transduction and in muscular contraction and are cofactors in many enzymes. Semiempirical models are optimized for the two metals based on the ab initio structures and binding energies of complexes formed between Mg2+ and Ca2+ with ligands that model binding groups in biological and chemical systems. Optimized models are tested on the ab initio properties of ~170 ion-ligand binary and ion-water-ligand ternary complexes. Optimized models of Mg underestimate the binding energies of S-containing complexes but give structures and binding energies of other complexes in agreement with ab initio data. Models for Ca reproduce the ab initio properties of all complexes, including S complexes.
\nCation–π interactions are common among protein structures and are believed to play key roles in stabilizing proteins and protein complexes with ligands and DNA. Polarizable potential models for the interaction of Rb+, Cs+, Tl+, ammonium, tetramethylammonium, and tetraethylammonium with aromatic amino acid side chains are calibrated based on the ab initio properties of the different cation–π complexes. The models are used to study the binding affinity and complexation geometry of the different pairs in water. Results are showing that cation–π interactions persist in aqueous solutions and are stronger than charge-dipole interactions (such as interactions of Rb+, Cs+, Tl+ with ethanol and acetamide). It is also found that cation–π complexes have geometries in aqueous solution similar to gas phase. In addition, results suggest that cation–π interactions influence the solubility of aromatic compounds in aqueous solutions.
\nProteins of the Amt/Mep/Rh family —ammonium transporters (Amt) in plants and bacteria, methylamine permease (Mep) in yeast, and rhesus (Rh) blood-group associated glycoproteins in animals— facilitate the permeation of ammonium across cell membranes. Crystal structures of AmtB and RhCG proteins reveal structural differences along the transport pathways. Amt proteins are selective toward NH4+ over Na+ and K+, yet their activity can be inhibited by ions such as Cs+ and Tl+. Polarizable potential models for NH3, NH4+, Na+, K+, Rb+, Cs+, and Tl+ interacting with model compounds to side chains of amino acids that line the transport pathway are optimized. The models are used to calculate the binding affinity of both proteins toward the various ligands and to study the functional roles of amino acids along the transport pathway. Results show that among the various ligands, only Cs+ and Tl+ can compete with NH4+ for binding the two proteins and hence inhibit the protein activity. Results also show that the large hydrophobicity of the pore lumen in RhCG protein destabilizes NH4+ and water molecules in the pore which suggests a net NH3 transport mechanism of the protein.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,275
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,056
Tête enseignante GPT0,311
Écart entre enseignants0,256 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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