2004
DOI: 10.1002/prot.20251
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Making optimal use of empirical energy functions: Force‐field parameterization in crystal space

Abstract: Today's energy functions are not able yet to distinguish reliably between correct and almost correct protein models. Improving these near-native models is currently a major bottle-neck in homology modeling or experimental structure determination at low resolution. Increasingly accurate energy functions are required to complete the "last mile of the protein folding problem," for example during a molecular dynamics simulation. We present a new approach to reach this goal. For 50 high resolution X-ray structures,… Show more

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Cited by 813 publications
(705 citation statements)
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“…To evaluate the impact of NR5A1 nonsynonymous mutations at the tertiary protein structure, several structural models were built for wild‐type and mutated molecules in the YASARA suite (Krieger et al, 2004), using as templates the crystal structures of the human liver receptor homologue 1 (LRH‐1, NR5A2) DNA‐binding domain (DBD) in complex with the hCYP7A1 promoter (PDB accession code 2A66), and the human NR5A1 ligand‐binding domain (LBD) in complex with di‐pamitoyl‐3‐SN‐phosphatidylethanolamine (PDB accession code 1ZDT). Stereo chemical quality of generated structural models was accessed with MOLPROBITY (Davis et al, 2007).…”
Section: Molecular Analysismentioning
confidence: 99%
“…To evaluate the impact of NR5A1 nonsynonymous mutations at the tertiary protein structure, several structural models were built for wild‐type and mutated molecules in the YASARA suite (Krieger et al, 2004), using as templates the crystal structures of the human liver receptor homologue 1 (LRH‐1, NR5A2) DNA‐binding domain (DBD) in complex with the hCYP7A1 promoter (PDB accession code 2A66), and the human NR5A1 ligand‐binding domain (LBD) in complex with di‐pamitoyl‐3‐SN‐phosphatidylethanolamine (PDB accession code 1ZDT). Stereo chemical quality of generated structural models was accessed with MOLPROBITY (Davis et al, 2007).…”
Section: Molecular Analysismentioning
confidence: 99%
“…The homology models of the CHD7 protein were constructed using YASARA Structure version 11.4.18 using standard settings. A short combined steepest descent and simulated annealing minimization using constraints on aligned backbone atoms was performed, followed by a full unrestrained simulated annealing minimization for the entire model using the YASARA2 force field [Krieger et al, 2002;Krieger et al, 2004;Krieger et al, 2009]. Modeling of the CHD7 variants and the assessment of the effect on CHD7 stability was performed using the FoldX protein design algorithm [Guerois et al, 2002;Schymkowitz et al, 2005;Reis et al, 2010] as described previously [Alibes et al, 2010;Pey et al, 2007;Rakoczy et al, 2011;van der Sloot et al, 2006].…”
Section: Structural Model Of the Chd7 Chromo-and Helicase Domainsmentioning
confidence: 99%
“…At this interaction site, RhoA protrudes into a concavity on the surface of LARG between residues N975 and R986; therefore, we hypothesized that a small molecule that bound in that concavity would reduce or prevent RhoA binding to LARG. From the docking screen of more than 4 million compounds in the ZINC library (22,23), the top scoring 49 chemicals predicted to bind to the LARG binding concavity were tested for their ability to inhibit the binding interaction between the DH-PH domain module of LARG and RhoA. Purified DH-PH domains of LARG, expressed as the (His) 6 -tagged proteins in Escherichia coli, were incubated with RhoA in the presence of a given compound at 100 μM concentration.…”
Section: Resultsmentioning
confidence: 99%