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PDBsum entry 1li2

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protein ligands metals links
Hydrolase PDB id
1li2

 

 

 

 

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Contents
Protein chain
162 a.a. *
Ligands
IPH
BME ×2
Metals
_CL ×2
Waters ×66
* Residue conservation analysis
PDB id:
1li2
Name: Hydrolase
Title: T4 lysozyme mutant l99a/m102q bound by phenol
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:
2.00Å     R-factor:   0.168    
Authors: B.Q.Wei,W.A.Baase,L.H.Weaver,B.W.Matthews,B.K.Shoichet
Key ref:
B.Q.Wei et al. (2002). A model binding site for testing scoring functions in molecular docking. J Mol Biol, 322, 339-355. PubMed id: 12217695 DOI: 10.1016/S0022-2836(02)00777-5
Date:
17-Apr-02     Release date:   08-May-02    
PROCHECK
Go to PROCHECK summary
 Headers
 References

Protein chain
Pfam   ArchSchema ?
P00720  (ENLYS_BPT4) -  Endolysin from Enterobacteria phage T4
Seq:
Struc:
164 a.a.
162 a.a.*
Key:    PfamA domain  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/S0022-2836(02)00777-5 J Mol Biol 322:339-355 (2002)
PubMed id: 12217695  
 
 
A model binding site for testing scoring functions in molecular docking.
B.Q.Wei, W.A.Baase, L.H.Weaver, B.W.Matthews, B.K.Shoichet.
 
  ABSTRACT  
 
Prediction of interaction energies between ligands and their receptors remains a major challenge for structure-based inhibitor discovery. Much effort has been devoted to developing scoring schemes that can successfully rank the affinities of a diverse set of possible ligands to a binding site for which the structure is known. To test these scoring functions, well-characterized experimental systems can be very useful. Here, mutation-created binding sites in T4 lysozyme were used to investigate how the quality of atomic charges and solvation energies affects molecular docking. Atomic charges and solvation energies were calculated for 172,118 molecules in the Available Chemicals Directory using a semi-empirical quantum mechanical approach by the program AMSOL. The database was first screened against the apolar cavity site created by the mutation Leu99Ala (L99A). Compared to the electronegativity-based charges that are widely used, the new charges and desolvation energies improved ranking of known apolar ligands, and better distinguished them from more polar isosteres that are not observed to bind. To investigate whether the new charges had predictive value, the non-polar residue Met102, which forms part of the binding site, was changed to the polar residue glutamine. The structure of the resulting Leu99Ala and Met102Gln double mutant of T4 lysozyme (L99A/M102Q) was determined and the docking calculation was repeated for the new site. Seven representative polar molecules that preferentially docked to the polar versus the apolar binding site were tested experimentally. All seven bind to the polar cavity (L99A/M102Q) but do not detectably bind to the apolar cavity (L99A). Five ligand-bound structures of L99A/M102Q were determined by X-ray crystallography. Docking predictions corresponded to the crystallographic results to within 0.4A RMSD. Improved treatment of partial atomic charges and desolvation energies in database docking appears feasible and leads to better distinction of true ligands. Simple model binding sites, such as L99A and its more polar variants, may find broad use in the development and testing of docking algorithms.
 
  Selected figure(s)  
 
Figure 9.
Figure 9. Difference density map for 3-chlorophenol bound to L99A/M102Q. The coefficients are (Fo 2 Fc) where the Fo are the structure amplitudes observed for the 3-chlorophenol-bound complex and the Fc and phases were calcu- lated from the refined model with all ligand atoms removed from the binding site. The map is at 1.85 A š resolution and contoured at +3s (continuous lines) and 23s (broken lines).
Figure 10.
Figure 10. Difference density map for 3-methylpyrrole bound to L99A/M102Q. The coefficients were defined as in Figure 9. The map is at 2.0 A š resolution and con- toured at +3s (continuous lines) and 23s (broken lines).
 
  The above figures are reprinted by permission from Elsevier: J Mol Biol (2002, 322, 339-355) copyright 2002.  
  Figures were selected by an automated process.  

Literature references that cite this PDB file's key reference

  PubMed id Reference
21359274 L.Y.Chen (2011).
Exploring the free-energy landscapes of biological systems with steered molecular dynamics.
  Phys Chem Chem Phys, 13, 6176-6183.  
21439477 P.Daldrop, F.E.Reyes, D.A.Robinson, C.M.Hammond, D.M.Lilley, R.T.Batey, and R.Brenk (2011).
Novel ligands for a purine riboswitch discovered by RNA-ligand docking.
  Chem Biol, 18, 324-335.
PDB codes: 2xnw 2xnz 2xo0 2xo1
20598892 G.F.Ruda, G.Campbell, V.P.Alibu, M.P.Barrett, R.Brenk, and I.H.Gilbert (2010).
Virtual fragment screening for novel inhibitors of 6-phosphogluconate dehydrogenase.
  Bioorg Med Chem, 18, 5056-5062.  
20405927 J.Carlsson, L.Yoo, Z.G.Gao, J.J.Irwin, B.K.Shoichet, and K.A.Jacobson (2010).
Structure-based discovery of A2A adenosine receptor ligands.
  J Med Chem, 53, 3748-3755.  
20404926 N.Huang, and M.P.Jacobson (2010).
Binding-site assessment by virtual fragment screening.
  PLoS One, 5, e10109.  
20540517 R.S.Ferreira, A.Simeonov, A.Jadhav, O.Eidam, B.T.Mott, M.J.Keiser, J.H.McKerrow, D.J.Maloney, J.J.Irwin, and B.K.Shoichet (2010).
Complementarity between a docking and a high-throughput screen in discovering new cruzain inhibitors.
  J Med Chem, 53, 4891-4905.
PDB code: 3kku
20730182 S.Y.Huang, S.Z.Grinter, and X.Zou (2010).
Scoring functions and their evaluation methods for protein-ligand docking: recent advances and future directions.
  Phys Chem Chem Phys, 12, 12899-12908.  
21152288 S.Y.Huang, and X.Zou (2010).
Advances and challenges in protein-ligand docking.
  Int J Mol Sci, 11, 3016-3034.  
20095051 W.A.Baase, L.Liu, D.E.Tronrud, and B.W.Matthews (2010).
Lessons from the lysozyme of phage T4.
  Protein Sci, 19, 631-641.  
19527033 C.P.Mpamhanga, D.Spinks, L.B.Tulloch, E.J.Shanks, D.A.Robinson, I.T.Collie, A.H.Fairlamb, P.G.Wyatt, J.A.Frearson, W.N.Hunter, I.H.Gilbert, and R.Brenk (2009).
One scaffold, three binding modes: novel and selective pteridine reductase 1 inhibitors derived from fragment hits discovered by virtual screening.
  J Med Chem, 52, 4454-4465.
PDB codes: 2wd7 2wd8 3gn1 3gn2
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.  
19207463 G.Rastelli, G.Degliesposti, A.Del Rio, and M.Sgobba (2009).
Binding estimation after refinement, a new automated procedure for the refinement and rescoring of docked ligands in virtual screening.
  Chem Biol Drug Des, 73, 283-286.  
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.  
19210777 H.Li, H.Zhang, M.Zheng, J.Luo, L.Kang, X.Liu, X.Wang, and H.Jiang (2009).
An effective docking strategy for virtual screening based on multi-objective optimization algorithm.
  BMC Bioinformatics, 10, 58.  
19342484 P.Kolb, D.M.Rosenbaum, J.J.Irwin, J.J.Fung, B.K.Kobilka, and B.K.Shoichet (2009).
Structure-based discovery of beta2-adrenergic receptor ligands.
  Proc Natl Acad Sci U S A, 106, 6843-6848.  
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
18821750 W.Deng, and C.L.Verlinde (2008).
Evaluation of different virtual screening programs for docking in a charged binding pocket.
  J Chem Inf Model, 48, 2010-2020.  
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
17603473 J.C.Hermann, R.Marti-Arbona, A.A.Fedorov, E.Fedorov, S.C.Almo, B.K.Shoichet, and F.M.Raushel (2007).
Structure-based activity prediction for an enzyme of unknown function.
  Nature, 448, 775-779.
PDB code: 2plm
17201676 M.K.Gilson, and H.X.Zhou (2007).
Calculation of protein-ligand binding affinities.
  Annu Rev Biophys Biomol Struct, 36, 21-42.  
16965052 D.L.Mobley, J.D.Chodera, and K.A.Dill (2006).
On the use of orientational restraints and symmetry corrections in alchemical free energy calculations.
  J Chem Phys, 125, 084902.  
16671749 H.Y.Liu, and X.Zou (2006).
Electrostatics of ligand binding: parametrization of the generalized Born model and comparison with the Poisson-Boltzmann approach.
  J Phys Chem B, 110, 9304-9313.  
17203140 N.Huang, C.Kalyanaraman, K.Bernacki, and M.P.Jacobson (2006).
Molecular mechanics methods for predicting protein-ligand binding.
  Phys Chem Chem Phys, 8, 5166-5177.  
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
16983673 S.Y.Huang, and X.Zou (2006).
An iterative knowledge-based scoring function to predict protein-ligand interactions: I. Derivation of interaction potentials.
  J Comput Chem, 27, 1866-1875.  
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.  
15667143 J.J.Irwin, and B.K.Shoichet (2005).
ZINC--a free database of commercially available compounds for virtual screening.
  J Chem Inf Model, 45, 177-182.  
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.  
15602552 B.K.Shoichet (2004).
Virtual screening of chemical libraries.
  Nature, 432, 862-865.  
15520816 D.B.Kitchen, H.Decornez, J.R.Furr, and J.Bajorath (2004).
Docking and scoring in virtual screening for drug discovery: methods and applications.
  Nat Rev Drug Discov, 3, 935-949.  
12676933 S.Soelaiman, B.Q.Wei, P.Bergson, Y.S.Lee, Y.Shen, M.Mrksich, B.K.Shoichet, and W.J.Tang (2003).
Structure-based inhibitor discovery against adenylyl cyclase toxins from pathogenic bacteria that cause anthrax and whooping cough.
  J Biol Chem, 278, 25990-25997.  
12133718 B.K.Shoichet, S.L.McGovern, B.Wei, and J.J.Irwin (2002).
Lead discovery using molecular docking.
  Curr Opin Chem Biol, 6, 439-446.  
12415248 J.Bajorath (2002).
Integration of virtual and high-throughput screening.
  Nat Rev Drug Discov, 1, 882-894.  
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 codes are shown on the right.

 

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