Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
J Chem Inf Model ; 59(12): 5263-5275, 2019 12 23.
Artigo em Inglês | MEDLINE | ID: mdl-31693362

RESUMO

Using existing and academically available software, we present a new method for the structural prediction of binding events containing flexible protein targets. SLICE (Selective Ligand-Induced Conformational Ensemble) combines opportunistic stochastic jumps of ligand position with standard molecular dynamics to model the induced-fit binding of ligands starting with unbound host coordinates. To induce the structural adaptations of the complex at the binding site, conformational jumps in ligand position are selected in SLICE from structures generated by a docking software. Multiple binding trajectories from the docking set are followed using molecular dynamics for a set time to relax the host structure and generate new host poses. A new configurational jump is made on the set of newly generated host poses. The process is then repeated. The method was implemented with AutoDock Vina as the docking method, Vina scores as the selection criterion, and Amber code for molecular dynamics and applied to several test systems. A system consisting of Chromobox protein homologue 8 (CBX8) and its small peptide ligand, H3K9Me3, for which the final (bound) configuration is known, is used for verifying SLICE in the present setup. The setup was also applied to several nonpeptide molecules on known difficult flexible targets exhibiting a large disparity between apo and holo host states. The SLICE simulations provide a promising approach to generate induced-fit configurations compared to existing long (microsecond) classical and accelerated dynamics approaches in all the test systems considered here. However, further optimization of SLICE parameters is required for replicating crystal structure coordinates for some systems. We discuss in the following pages the various SLICE parameters and how they can be optimized for the system at hand.


Assuntos
Simulação de Dinâmica Molecular , Complexo Repressor Polycomb 1/metabolismo , Ligantes , Complexo Repressor Polycomb 1/química , Conformação Proteica , Fatores de Tempo
2.
ACS Chem Biol ; 15(1): 112-131, 2020 01 17.
Artigo em Inglês | MEDLINE | ID: mdl-31755685

RESUMO

Polycomb repressive complex 1 (PRC1) is critical for mediating gene expression during development. Five chromobox (CBX) homolog proteins, CBX2, CBX4, CBX6, CBX7, and CBX8, are incorporated into PRC1 complexes, where they mediate targeting to trimethylated lysine 27 of histone H3 (H3K27me3) via the N-terminal chromodomain (ChD). Individual CBX paralogs have been implicated as drug targets in cancer; however, high similarities in sequence and structure among the CBX ChDs provide a major obstacle in developing selective CBX ChD inhibitors. Here we report the selection of small, focused, DNA-encoded libraries (DELs) against multiple homologous ChDs to identify modifications to a parental ligand that confer both selectivity and potency for the ChD of CBX8. This on-DNA, medicinal chemistry approach enabled the development of SW2_110A, a selective, cell-permeable inhibitor of the CBX8 ChD. SW2_110A binds CBX8 ChD with a Kd of 800 nM, with minimal 5-fold selectivity for CBX8 ChD over all other CBX paralogs in vitro. SW2_110A specifically inhibits the association of CBX8 with chromatin in cells and inhibits the proliferation of THP1 leukemia cells driven by the MLL-AF9 translocation. In THP1 cells, SW2_110A treatment results in a significant decrease in the expression of MLL-AF9 target genes, including HOXA9, validating the previously established role for CBX8 in MLL-AF9 transcriptional activation, and defining the ChD as necessary for this function. The success of SW2_110A provides great promise for the development of highly selective and cell-permeable probes for the full CBX family. In addition, the approach taken provides a proof-of-principle demonstration of how DELs can be used iteratively for optimization of both ligand potency and selectivity.


Assuntos
Antineoplásicos/química , Inibidores Enzimáticos/química , Biblioteca Gênica , Ligantes , Complexo Repressor Polycomb 1/metabolismo , Proteínas Recombinantes de Fusão/metabolismo , Sequência de Aminoácidos , Linhagem Celular Tumoral , Permeabilidade da Membrana Celular , Proliferação de Células/efeitos dos fármacos , Cromatina/metabolismo , Clonagem Molecular , DNA/metabolismo , Desenvolvimento de Medicamentos , Expressão Gênica , Histonas/química , Humanos , Ligases/metabolismo , Lisina/química , Complexo Repressor Polycomb 1/antagonistas & inibidores , Complexo Repressor Polycomb 1/genética , Ligação Proteica , Proteínas Recombinantes de Fusão/genética , Relação Estrutura-Atividade , Especificidade por Substrato , Translocação Genética
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA