Unknown

Dataset Information

0

Towards computational specificity screening of DNA-binding proteins.


ABSTRACT: DNA-binding proteins are key players in the regulation of gene expression and, hence, are essential for cell function. Chimeric proteins composed of DNA-binding domains and DNA modifying domains allow for precise genome manipulation. A key prerequisite is the specific recognition of a particular nucleotide sequence. Here, we quantitatively assess the binding affinity of DNA-binding proteins by molecular dynamics-based alchemical free energy simulations. A computational framework was developed to automatically set up in silico screening assays and estimate free energy differences using two independent procedures, based on equilibrium and non-equlibrium transformation pathways. The influence of simulation times on the accuracy of both procedures is presented. The binding specificity of a zinc-finger transcription factor to several sequences is calculated, and agreement with experimental data is shown. Finally we propose an in silico screening strategy aiming at the derivation of full specificity profiles for DNA-binding proteins.

SUBMITTER: Seeliger D 

PROVIDER: S-EPMC3201868 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Towards computational specificity screening of DNA-binding proteins.

Seeliger Daniel D   Buelens Floris P FP   Goette Maik M   de Groot Bert L BL   Grubmüller Helmut H  

Nucleic acids research 20110706 19


DNA-binding proteins are key players in the regulation of gene expression and, hence, are essential for cell function. Chimeric proteins composed of DNA-binding domains and DNA modifying domains allow for precise genome manipulation. A key prerequisite is the specific recognition of a particular nucleotide sequence. Here, we quantitatively assess the binding affinity of DNA-binding proteins by molecular dynamics-based alchemical free energy simulations. A computational framework was developed to  ...[more]

Similar Datasets

| S-EPMC3812049 | biostudies-literature
| S-EPMC2999987 | biostudies-literature
2024-07-05 | GSE237017 | GEO
| S-EPMC3319069 | biostudies-literature
| PRJNA993300 | ENA
| S-EPMC4589463 | biostudies-literature
| S-EPMC4734684 | biostudies-literature
| S-EPMC7028011 | biostudies-literature
| S-EPMC4296175 | biostudies-literature
| S-EPMC8498823 | biostudies-literature