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PDBsum entry 4z49

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protein metals Protein-protein interface(s) links
Hydrolase PDB id
4z49

 

 

 

 

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Contents
Protein chains
262 a.a.
282 a.a.
Metals
__K
Waters ×699
PDB id:
4z49
Name: Hydrolase
Title: Homo sapiens fatty acid synthetase, thioesterase domain at 1.7 angstroms resolution
Structure: Fatty acid synthase. Chain: a, b. Fragment: unp residues 2221-2502. Engineered: yes
Source: Homo sapiens. Human. Organism_taxid: 9606. Gene: fasn, fas. Expressed in: escherichia coli. Expression_system_taxid: 562
Resolution:
1.70Å     R-factor:   0.173     R-free:   0.212
Authors: G.Spraggon
Key ref: I.H.Park et al. (2015). Estimation of Hydrogen-Exchange Protection Factors from MD Simulation Based on Amide Hydrogen Bonding Analysis. J Chem Inf Model, 55, 1914-1925. PubMed id: 26241692 DOI: 10.1021/acs.jcim.5b00185
Date:
01-Apr-15     Release date:   16-Mar-16    
PROCHECK
Go to PROCHECK summary
 Headers
 References

Protein chain
Pfam   ArchSchema ?
P49327  (FAS_HUMAN) -  Fatty acid synthase from Homo sapiens
Seq:
Struc:
 
Seq:
Struc:
 
Seq:
Struc:
 
Seq:
Struc:
 
Seq:
Struc:
2511 a.a.
262 a.a.
Protein chain
Pfam   ArchSchema ?
P49327  (FAS_HUMAN) -  Fatty acid synthase from Homo sapiens
Seq:
Struc:
 
Seq:
Struc:
 
Seq:
Struc:
 
Seq:
Struc:
 
Seq:
Struc:
2511 a.a.
282 a.a.
Key:    PfamA domain  Secondary structure  CATH domain

 Enzyme reactions 
   Enzyme class 1: Chains A, B: E.C.1.1.1.100  - 3-oxoacyl-[acyl-carrier-protein] reductase.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: a (3R)-hydroxyacyl-[ACP] + NADP+ = a 3-oxoacyl-[ACP] + NADPH + H+
(3R)-hydroxyacyl-[ACP]
+ NADP(+)
= 3-oxoacyl-[ACP]
+ NADPH
+ H(+)
   Enzyme class 2: Chains A, B: E.C.1.3.1.39  - enoyl-[acyl-carrier-protein] reductase (Nadph, Re-specific).
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: a 2,3-saturated acyl-[ACP] + NADP+ = a (2E)-enoyl-[ACP] + NADPH + H+
2,3-saturated acyl-[ACP]
+ NADP(+)
= (2E)-enoyl-[ACP]
+ NADPH
+ H(+)
   Enzyme class 3: Chains A, B: E.C.2.3.1.38  - [acyl-carrier-protein] S-acetyltransferase.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: holo-[ACP] + acetyl-CoA = acetyl-[ACP] + CoA
holo-[ACP]
+ acetyl-CoA
= acetyl-[ACP]
+ CoA
   Enzyme class 4: Chains A, B: E.C.2.3.1.39  - [acyl-carrier-protein] S-malonyltransferase.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: holo-[ACP] + malonyl-CoA = malonyl-[ACP] + CoA
holo-[ACP]
+ malonyl-CoA
= malonyl-[ACP]
+ CoA
   Enzyme class 5: Chains A, B: E.C.2.3.1.41  - beta-ketoacyl-[acyl-carrier-protein] synthase I.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: a fatty acyl-[ACP] + malonyl-[ACP] + H+ = a 3-oxoacyl-[ACP] + holo- [ACP] + CO2
fatty acyl-[ACP]
+ malonyl-[ACP]
+ H(+)
= 3-oxoacyl-[ACP]
+ holo- [ACP]
+ CO2
   Enzyme class 6: Chains A, B: E.C.2.3.1.85  - fatty-acid synthase system.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: acetyl-CoA + n malonyl-CoA + 2n NADPH + 2n H+ = a long-chain fatty acid + (n+1) CoA + n CO2 + 2n NADP+
acetyl-CoA
+ n malonyl-CoA
+ 2n NADPH
+ 2n H(+)
= long-chain fatty acid
+ (n+1) CoA
+ n CO2
+ 2n NADP(+)
   Enzyme class 7: Chains A, B: E.C.3.1.2.14  - oleoyl-[acyl-carrier-protein] hydrolase.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: (9Z)-octadecenoyl-[ACP] + H2O = (9Z)-octadecenoate + holo-[ACP] + H+
Oleoyl-[acyl-carrier-protein]
+ n H(2)O
= [acyl-carrier-protein]
+ oleate
   Enzyme class 8: Chains A, B: E.C.4.2.1.59  - 3-hydroxyacyl-[acyl-carrier-protein] dehydratase.
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]
      Reaction: a (3R)-hydroxyacyl-[ACP] = a (2E)-enoyl-[ACP] + H2O
(3R)-3-hydroxyacyl-[acyl-carrier protein]
= n trans-2-enoyl-[acyl- carrier protein]
+ H(2)O
Note, where more than one E.C. class is given (as above), each may correspond to a different protein domain or, in the case of polyprotein precursors, to a different mature protein.
Molecule diagrams generated from .mol files obtained from the KEGG ftp site

 

 
    reference    
 
 
DOI no: 10.1021/acs.jcim.5b00185 J Chem Inf Model 55:1914-1925 (2015)
PubMed id: 26241692  
 
 
Estimation of Hydrogen-Exchange Protection Factors from MD Simulation Based on Amide Hydrogen Bonding Analysis.
I.H.Park, J.D.Venable, C.Steckler, S.E.Cellitti, S.A.Lesley, G.Spraggon, A.Brock.
 
  ABSTRACT  
 
Hydrogen exchange (HX) studies have provided critical insight into our understanding of protein folding, structure, and dynamics. More recently, hydrogen exchange mass spectrometry (HX-MS) has become a widely applicable tool for HX studies. The interpretation of the wealth of data generated by HX-MS experiments as well as other HX methods would greatly benefit from the availability of exchange predictions derived from structures or models for comparison with experiment. Most reported computational HX modeling studies have employed solvent-accessible-surface-area based metrics in attempts to interpret HX data on the basis of structures or models. In this study, a computational HX-MS prediction method based on classification of the amide hydrogen bonding modes mimicking the local unfolding model is demonstrated. Analysis of the NH bonding configurations from molecular dynamics (MD) simulation snapshots is used to determine partitioning over bonded and nonbonded NH states and is directly mapped into a protection factor (PF) using a logistics growth function. Predicted PFs are then used for calculating deuteration values of peptides and compared with experimental data. Hydrogen exchange MS data for fatty acid synthase thioesterase (FAS-TE) collected for a range of pHs and temperatures was used for detailed evaluation of the approach. High correlation between prediction and experiment for observable fragment peptides is observed in the FAS-TE and additional benchmarking systems that included various apo/holo proteins for which literature data were available. In addition, it is shown that HX modeling can improve experimental resolution through decomposition of in-exchange curves into rate classes, which correlate with prediction from MD. Successful rate class decompositions provide further evidence that the presented approach captures the underlying physical processes correctly at the single residue level. This assessment is further strengthened in a comparison of residue resolved protection factor predictions for staphylococcal nuclease with NMR data, which was also used to compare prediction performance with other algorithms described in the literature. The demonstrated transferable and scalable MD based HX prediction approach adds significantly to the available tools for HX-MS data interpretation based on available structures and models.
 

 

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