spacer
spacer

PDBsum entry 3htd

Go to PDB code: 
protein ligands links
Hydrolase PDB id
3htd

 

 

 

 

Loading ...

 
JSmol PyMol  
Contents
Protein chain
163 a.a. *
Ligands
PO4
JZ5
BME ×2
Waters ×331
* Residue conservation analysis
PDB id:
3htd
Name: Hydrolase
Title: (Z)-thiophene-2-carboxaldoxime in complex with t4 lysozyme l99a/m102q
Structure: Lysozyme. Chain: a. Synonym: lysis protein, muramidase, endolysin. Engineered: yes. Mutation: yes
Source: Enterobacteria phage t4. Bacteriophage t4. Organism_taxid: 10665. Strain: enterobacteria phage t4 sensu lato. Gene: e. Expressed in: escherichia coli. Expression_system_taxid: 562.
Resolution:
1.40Å     R-factor:   0.168     R-free:   0.190
Authors: S.E.Boyce,D.L.Mobley,G.J.Rocklin,A.P.Graves,K.A.Dill,B.K.Shoichet
Key ref:
S.E.Boyce et al. (2009). Predicting ligand binding affinity with alchemical free energy methods in a polar model binding site. J Mol Biol, 394, 747-763. PubMed id: 19782087 DOI: 10.1016/j.jmb.2009.09.049
Date:
11-Jun-09     Release date:   03-Nov-09    
PROCHECK
Go to PROCHECK summary
 Headers
 References

Protein chain
Pfam   ArchSchema ?
P00720  (ENLYS_BPT4) -  Endolysin from Enterobacteria phage T4
Seq:
Struc:
164 a.a.
163 a.a.*
Key:    PfamA domain  Secondary structure  CATH domain
* PDB and UniProt seqs differ at 6 residue positions (black crosses)

 Enzyme reactions 
   Enzyme class: E.C.3.2.1.17  - lysozyme.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: Hydrolysis of the 1,4-beta-linkages between N-acetyl-D-glucosamine and N-acetylmuramic acid in peptidoglycan heteropolymers of the prokaryotes cell walls.

 

 
DOI no: 10.1016/j.jmb.2009.09.049 J Mol Biol 394:747-763 (2009)
PubMed id: 19782087  
 
 
Predicting ligand binding affinity with alchemical free energy methods in a polar model binding site.
S.E.Boyce, D.L.Mobley, G.J.Rocklin, A.P.Graves, K.A.Dill, B.K.Shoichet.
 
  ABSTRACT  
 
We present a combined experimental and modeling study of organic ligand molecules binding to a slightly polar engineered cavity site in T4 lysozyme (L99A/M102Q). For modeling, we computed alchemical absolute binding free energies. These were blind tests performed prospectively on 13 diverse, previously untested candidate ligand molecules. We predicted that eight compounds would bind to the cavity and five would not; 11 of 13 predictions were correct at this level. The RMS error to the measurable absolute binding energies was 1.8 kcal/mol. In addition, we computed "relative" binding free energies for six phenol derivatives starting from two known ligands: phenol and catechol. The average RMS error in the relative free energy prediction was 2.5 kcal/mol (phenol) and 1.1 kcal/mol (catechol). To understand these results at atomic resolution, we obtained x-ray co-complex structures for nine of the diverse ligands and for all six phenol analogs. The average RMSD of the predicted pose to the experiment was 2.0 A (diverse set), 1.8 A (phenol-derived predictions), and 1.2 A (catechol-derived predictions). We found that predicting accurate affinities and rank-orderings required near-native starting orientations of the ligand in the binding site. Unanticipated binding modes, multiple ligand binding, and protein conformational change all proved challenging for the free energy methods. We believe that these results can help guide future improvements in physics-based absolute binding free energy methods.
 
  Selected figure(s)  
 
Figure 1.
Fig. 1. (a) T4 Lysozyme L99A/M102Q binding site shown in complex with phenol and one ordered water molecule.^23 (b) Unwinding of helix F upon binding of certain ligands (cyan) yields an enlarged binding site relative to apo (orange).
Figure 6.
Fig. 6. Crystallographic orientations of the reference ligands phenol (orange; PDB ID 1LI2) and catechol (cyan; PDB ID 1XEP) overlaid on the apo reference structure (gray; PDB ID 1LGU). The two alternate hydroxyl positions are labeled A and B.
 
  The above figures are reprinted by permission from Elsevier: J Mol Biol (2009, 394, 747-763) copyright 2009.  
  Figures were selected by an automated process.  

Literature references that cite this PDB file's key reference

  PubMed id Reference
21390201 D.Huang, and A.Caflisch (2011).
The free energy landscape of small molecule unbinding.
  PLoS Comput Biol, 7, e1002002.  
21339062 E.Gallicchio, and R.M.Levy (2011).
Advances in all atom sampling methods for modeling protein-ligand binding affinities.
  Curr Opin Struct Biol, 21, 161-166.  
21349700 J.D.Chodera, D.L.Mobley, M.R.Shirts, R.W.Dixon, K.Branson, and V.S.Pande (2011).
Alchemical free energy methods for drug discovery: progress and challenges.
  Curr Opin Struct Biol, 21, 150-160.  
20509041 J.Michel, and J.W.Essex (2010).
Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.
  J Comput Aided Mol Des, 24, 639-658.  
20467461 K.M.Merz (2010).
Limits of Free Energy Computation for Protein-Ligand Interactions.
  J Chem Theory Comput, 6, 1018-1027.  
20372973 P.V.Klimovich, and D.L.Mobley (2010).
Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.
  J Comput Aided Mol Des, 24, 307-316.  
20495851 Y.Okamoto, T.Tanaka, and H.Kokubo (2010).
Dependency of ligand free energy landscapes on charge parameters and solvent models.
  J Comput Aided Mol Des, 24, 699-712.  
The most recent references are shown first. Citation data come partly from CiteXplore and partly from an automated harvesting procedure. Note that this is likely to be only a partial list as not all journals are covered by either method. However, we are continually building up the citation data so more and more references will be included with time.

 

spacer

spacer