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PDBsum entry 1ovh

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Hydrolase PDB id
1ovh

 

 

 

 

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Contents
Protein chain
162 a.a. *
Ligands
BME ×3
2CM
Metals
_CL ×2
Waters ×62
* Residue conservation analysis
PDB id:
1ovh
Name: Hydrolase
Title: T4 lysozyme cavity mutant l99a/m102q bound with 2-chloro-6-methyl- aniline
Structure: Lysozyme. Chain: a. Synonym: lysis protein, muramidase, endolysin. Engineered: yes. Mutation: yes
Source: Enterobacteria phage t4. Organism_taxid: 10665. Expressed in: escherichia coli. Expression_system_taxid: 562
Biol. unit: Dimer (from PQS)
Resolution:
1.95Å     R-factor:   0.185    
Authors: B.Q.Wei,W.A.Baase,L.H.Weaver,B.W.Matthews,B.K.Shoichet
Key ref:
B.Q.Wei et al. (2004). Testing a flexible-receptor docking algorithm in a model binding site. J Mol Biol, 337, 1161-1182. PubMed id: 15046985 DOI: 10.1016/j.jmb.2004.02.015
Date:
26-Mar-03     Release date:   06-Apr-04    
PROCHECK
Go to PROCHECK summary
 Headers
 References

Protein chain
P00720  (ENLYS_BPT4) -  Endolysin from Enterobacteria phage T4
Seq:
Struc:
164 a.a.
162 a.a.*
Key:    Secondary structure  CATH domain
* PDB and UniProt seqs differ at 4 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.2004.02.015 J Mol Biol 337:1161-1182 (2004)
PubMed id: 15046985  
 
 
Testing a flexible-receptor docking algorithm in a model binding site.
B.Q.Wei, L.H.Weaver, A.M.Ferrari, B.W.Matthews, B.K.Shoichet.
 
  ABSTRACT  
 
Sampling receptor flexibility is challenging for database docking. We consider a method that treats multiple flexible regions of the binding site independently, recombining them to generate different discrete conformations. This algorithm scales linearly rather than exponentially with the receptor's degrees of freedom. The method was first evaluated for its ability to identify known ligands of a hydrophobic cavity mutant of T4 lysozyme (L99A). Some 200000 molecules of the Available Chemical Directory (ACD) were docked against an ensemble of cavity conformations. Surprisingly, the enrichment of known ligands from among a much larger number of decoys in the ACD was worse than simply docking to the apo conformation alone. Large decoys, accommodated in the larger cavity conformations sampled in the ensemble, were ranked better than known small ligands. The calculation was redone with an energy correction term that considered the cost of forming the larger cavity conformations. Enrichment improved, as did the balance between high-ranking large and small ligands. In a second retrospective test, the ACD was docked against a conformational ensemble of thymidylate synthase. Compared to docking against individual enzyme conformations, the flexible receptor docking approach improved enrichment of known ligands. Including a receptor conformational energy weighting term improved enrichment further. To test the method prospectively, the ACD database was docked against another cavity mutant of lysozyme (L99A/M102Q). A total of 18 new compounds predicted to bind this polar cavity and to change its conformation were tested experimentally; 14 were found to bind. The bound structures for seven ligands were determined by X-ray crystallography. The predicted geometries of these ligands all corresponded to the observed geometries to within 0.7A RMSD or better. Significant conformational changes of the cavity were observed in all seven complexes. In five structures, part of the observed accommodations were correctly predicted; in two structures, the receptor conformational changes were unanticipated and thus never sampled. These results suggest that although sampling receptor flexibility can lead to novel ligands that would have been missed when docking a rigid structure, it is also important to consider receptor conformational energy.
 
  Selected figure(s)  
 
Figure 6.
Figure 6. Stereo views of difference electron density maps for seven ligands bound to L99A/M102Q. a, 2-n-Propyl aniline; b, 2-allyl-6-methyl phenol; c, 3-fluoro-2-methyl aniline; d, 2-allyl phenol; e, 2-chloro-6-methyl aniline; f, 4-fluorophenethyl alcohol; and g, N-allyl aniline. The coefficients are (F[o] -F[c]), where the F[o] are the observed structure amplitudes for the ligand-bound complex and the F[c] and phases were calculated from the refined model with all atoms removed from the cavity. Maps are contoured at +3s (continuous lines) and -3s (broken lines).
Figure 8.
Figure 8. Docking against the apo L99A/M102Q cavity (PDB entry 1LGU) led to incorrect prediction of the binding geometry of a, 2-chloro-6-methyl aniline and b, 3-fluoro-2-methyl aniline. Color scheme is the same as in Figure 7. The pictures are in stereo.
 
  The above figures are reprinted by permission from Elsevier: J Mol Biol (2004, 337, 1161-1182) copyright 2004.  
  Figures were selected by an automated process.  

Literature references that cite this PDB file's key reference

  PubMed id Reference
20462859 F.Lauck, C.A.Smith, G.F.Friedland, E.L.Humphris, and T.Kortemme (2010).
RosettaBackrub--a web server for flexible backbone protein structure modeling and design.
  Nucleic Acids Res, 38, W569-W575.  
19785456 I.Bahar, T.R.Lezon, A.Bakan, and I.H.Shrivastava (2010).
Normal mode analysis of biomolecular structures: functional mechanisms of membrane proteins.
  Chem Rev, 110, 1463-1497.  
20401681 N.Brooijmans, and C.Humblet (2010).
Chemical space sampling by different scoring functions and crystal structures.
  J Comput Aided Mol Des, 24, 433-447.  
19929833 R.E.Amaro, and W.W.Li (2010).
Emerging methods for ensemble-based virtual screening.
  Curr Top Med Chem, 10, 3.  
21152288 S.Y.Huang, and X.Zou (2010).
Advances and challenges in protein-ligand docking.
  Int J Mol Sci, 11, 3016-3034.  
19340588 A.N.Jain (2009).
Effects of protein conformation in docking: improved pose prediction through protein pocket adaptation.
  J Comput Aided Mol Des, 23, 355-374.  
18704939 C.Hartmann, I.Antes, and T.Lengauer (2009).
Docking and scoring with alternative side-chain conformations.
  Proteins, 74, 712-726.  
18831031 D.J.Huggins, M.D.Altman, and B.Tidor (2009).
Evaluation of an inverse molecular design algorithm in a model binding site.
  Proteins, 75, 168-186.  
19368882 D.L.Mobley, and K.A.Dill (2009).
Binding of small-molecule ligands to proteins: "what you see" is not always "what you get".
  Structure, 17, 489-498.  
19090659 G.Bottegoni, I.Kufareva, M.Totrov, and R.Abagyan (2009).
Four-dimensional docking: a fast and accurate account of discrete receptor flexibility in ligand docking.
  J Med Chem, 52, 397-406.  
19478996 G.D.Friedland, N.A.Lakomek, C.Griesinger, J.Meiler, and T.Kortemme (2009).
A correspondence between solution-state dynamics of an individual protein and the sequence and conformational diversity of its family.
  PLoS Comput Biol, 5, e1000393.
PDB code: 2kn5
19845314 H.Fan, J.J.Irwin, B.M.Webb, G.Klebe, B.K.Shoichet, and A.Sali (2009).
Molecular docking screens using comparative models of proteins.
  J Chem Inf Model, 49, 2512-2527.  
19950979 J.L.Paulsen, and A.C.Anderson (2009).
Scoring ensembles of docked protein:ligand interactions for virtual lead optimization.
  J Chem Inf Model, 49, 2813-2819.  
19782087 S.E.Boyce, D.L.Mobley, G.J.Rocklin, A.P.Graves, K.A.Dill, and B.K.Shoichet (2009).
Predicting ligand binding affinity with alchemical free energy methods in a polar model binding site.
  J Mol Biol, 394, 747-763.
PDB codes: 3ht6 3ht7 3ht8 3ht9 3htb 3htd 3htf 3htg 3hu8 3hu9 3hua 3huk 3huq
18280498 A.P.Graves, D.M.Shivakumar, S.E.Boyce, M.P.Jacobson, D.A.Case, and B.K.Shoichet (2008).
Rescoring docking hit lists for model cavity sites: predictions and experimental testing.
  J Mol Biol, 377, 914-934.
PDB codes: 2ray 2raz 2rb0 2rb1 2rb2 2rbn 2rbo 2rbp 2rbq 2rbr 2rbs 2rbt 2rbu 2rbv 2rbw 2rbx 2rby 2rbz 2rc0 2rc1 2rc2
18076034 J.Lee, and C.Seok (2008).
A statistical rescoring scheme for protein-ligand docking: Consideration of entropic effect.
  Proteins, 70, 1074-1083.  
18558668 L.S.Cheng, R.E.Amaro, D.Xu, W.W.Li, P.W.Arzberger, and J.A.McCammon (2008).
Ensemble-based virtual screening reveals potential novel antiviral compounds for avian influenza neuraminidase.
  J Med Chem, 51, 3878-3894.  
18302984 M.Totrov, and R.Abagyan (2008).
Flexible ligand docking to multiple receptor conformations: a practical alternative.
  Curr Opin Struct Biol, 18, 178-184.  
18680357 N.Huang, and B.K.Shoichet (2008).
Exploiting ordered waters in molecular docking.
  J Med Chem, 51, 4862-4865.  
17636570 N.Kamiya, Y.Yonezawa, H.Nakamura, and J.Higo (2008).
Protein-inhibitor flexible docking by a multicanonical sampling: native complex structure with the lowest free energy and a free-energy barrier distinguishing the native complex from the others.
  Proteins, 70, 41-53.  
18785728 P.Cozzini, G.E.Kellogg, F.Spyrakis, D.J.Abraham, G.Costantino, A.Emerson, F.Fanelli, H.Gohlke, L.A.Kuhn, G.M.Morris, M.Orozco, T.A.Pertinhez, M.Rizzi, and C.A.Sotriffer (2008).
Target flexibility: an emerging consideration in drug discovery and design.
  J Med Chem, 51, 6237-6255.  
18172838 R.Kim, and J.Skolnick (2008).
Assessment of programs for ligand binding affinity prediction.
  J Comput Chem, 29, 1316-1331.  
17932934 S.Wong, and M.P.Jacobson (2008).
Conformational selection in silico: loop latching motions and ligand binding in enzymes.
  Proteins, 71, 153-164.  
17599350 D.L.Mobley, A.P.Graves, J.D.Chodera, A.C.McReynolds, B.K.Shoichet, and K.A.Dill (2007).
Predicting absolute ligand binding free energies to a simple model site.
  J Mol Biol, 371, 1118-1134.
PDB codes: 2oty 2otz 2ou0
17173284 G.M.Verkhivker (2007).
Computational proteomics of biomolecular interactions in the sequence and structure space of the tyrosine kinome: deciphering the molecular basis of the kinase inhibitors selectivity.
  Proteins, 66, 912-929.  
17201676 M.K.Gilson, and H.X.Zhou (2007).
Calculation of protein-ligand binding affinities.
  Annu Rev Biophys Biomol Struct, 36, 21-42.  
17123961 S.Y.Huang, and X.Zou (2007).
Efficient molecular docking of NMR structures: application to HIV-1 protease.
  Protein Sci, 16, 43-51.  
17096427 S.Y.Huang, and X.Zou (2007).
Ensemble docking of multiple protein structures: considering protein structural variations in molecular docking.
  Proteins, 66, 399-421.  
17078091 V.M.Popov, W.A.Yee, and A.C.Anderson (2007).
Towards in silico lead optimization: scores from ensembles of protein/ligand conformations reliably correlate with biological activity.
  Proteins, 66, 375-387.  
16493629 A.Ahmed, and H.Gohlke (2006).
Multiscale modeling of macromolecular conformational changes combining concepts from rigidity and elastic network theory.
  Proteins, 63, 1038-1051.  
16580603 A.J.Orry, R.A.Abagyan, and C.N.Cavasotto (2006).
Structure-based development of target-specific compound libraries.
  Drug Discov Today, 11, 261-266.  
16793526 G.Klebe (2006).
Virtual ligand screening: strategies, perspectives and limitations.
  Drug Discov Today, 11, 580-594.  
16758486 H.Alonso, A.A.Bliznyuk, and J.E.Gready (2006).
Combining docking and molecular dynamic simulations in drug design.
  Med Res Rev, 26, 531-568.  
16532451 M.Y.Mizutani, Y.Takamatsu, T.Ichinose, K.Nakamura, and A.Itai (2006).
Effective handling of induced-fit motion in flexible docking.
  Proteins, 63, 878-891.  
16555306 N.P.Todorov, C.L.Buenemann, and I.L.Alberts (2006).
De novo ligand design to an ensemble of protein structures.
  Proteins, 64, 43-59.  
16490206 R.Brenk, S.W.Vetter, S.E.Boyce, D.B.Goodin, and B.K.Shoichet (2006).
Probing molecular docking in a charged model binding site.
  J Mol Biol, 357, 1449-1470.
PDB codes: 2anz 2aqd 2as1 2as2 2as3 2as4 2as6 2eun 2euo 2eup 2euq 2eur 2eus 2eut 2euu
17216047 X.Barril, and R.Soliva (2006).
Molecular modelling.
  Mol Biosyst, 2, 660-681.  
15916423 A.P.Graves, R.Brenk, and B.K.Shoichet (2005).
Decoys for docking.
  J Med Chem, 48, 3714-3728.
PDB code: 1xep
16231201 C.Machicado, J.López-Llano, S.Cuesta-López, M.Bueno, and J.Sancho (2005).
Design of ligand binding to an engineered protein cavity using virtual screening and thermal up-shift evaluation.
  J Comput Aided Mol Des, 19, 421-443.  
16101414 D.M.Lorber, and B.K.Shoichet (2005).
Hierarchical docking of databases of multiple ligand conformations.
  Curr Top Med Chem, 5, 739-749.  
16170052 R.Brenk, J.J.Irwin, and B.K.Shoichet (2005).
Here be dragons: docking and screening in an uncharted region of chemical space.
  J Biomol Screen, 10, 667-674.  
15456251 A.M.Ferrari, B.Q.Wei, L.Costantino, and B.K.Shoichet (2004).
Soft docking and multiple receptor conformations in virtual screening.
  J Med Chem, 47, 5076-5084.  
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. Where a reference describes a PDB structure, the PDB code is shown on the right.

 

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