1. Transport Inference Parser: Inferring Transport Reactions from Protein Data for PGDBs

2. Running the Transport Inference Parser
1. Run Pathway Tools.
2. Make the organism of interest the current organism.
3. [Run operon predictor].
4. Select Tools/Pathologic.
5. From Pathologic, select Refine/Transport Inference Parser.
6. If running TIP for the first time on the organism, optionally provide its aerobicity.
7. Wait and observe progress.
8. When complete, Probable Transporter Table window appears.
9. You may now review and modify the inferred transporters.
TIP can take significant time to run so we start it and let it run during the first portion of the talk.
Operon predictor is under Pathologic/Refine menu – Trnascription Unit Prediction

3. Background Implemented in consultation with Ian Paulsen Reference:
Annotation-based inference of transporter function. Thomas J. Lee, Ian Paulsen and Peter Karp. Bioinformatics, vol. 24, pp , 2008.

4. Purpose of TIP
Infer transport reactions from protein data and construct them in BioCyc PGDBs.
Present results for review so that predictions can be reviewed for acceptance, rejection, and modification.

5. Results of running TIP
Add the following to the PGDB for each inferred transported substrate:
Transport-Reaction frame of correct subclass
Assign compartments – use simple assumptions
Enzymatic-Reaction frame linking protein to reaction
Construct Protein-Complexes as required
Evidence codes and provenance data added to these

6. Sequence of internal operations
1. Find candidate transporter proteins.
2. Filter out candidates.
3. Identify substrate(s).
4. Assign an energy coupling to transporter.
5. Identify compartment of each substrate.
6. Group subunits of transporter complexes.
7. Construct full compartmental reaction from substrate and coupling.
8. Construct enzymatic reaction linking each reaction with protein.

7. 1. Find candidate transporter proteins
Input: all protein frames of organism
Output: internal data structures for each candidate
Annotation must contain an indicator. Exs: "transport”, “export”, “permease”, “channel”
Exclude proteins with long annotations (default: 12 words)

8. 2. Filter candidates
Exclude if annotation matches a list of regular expressions of counterindicator phrases and patterns
Ex: “transport associated domain”
Exclude if annotation contains counterindicator word
Exs: “regulator”, “nuclear-export”

9. 3. Identify substrate(s)
Search annotation for names of MetaCyc compounds. Details:
Multiple substrates indicate multiple reactions, symport/antiport pair, or both. Exs:
“cytosine/purines/uracil/thiamine/allantoin permease family protein”
“magnesium and cobalt transport protein cora, putative”
“sodium:sulfate symporter transmembrane domain protein”
“probable agcs sodium/alanine/glycine symporter”
Exclude non-substrates that look like compounds via an exception list. Exs: “as” “be” “c” “i”

10. 3. Identify substrate(s) (cont.)
Name canonicalization.
Ex: strip plurals.
Affixed substrates.
Exs: “-transporting” “-specific”
Lookup special ionic forms.
Exs: “cuprous” “ferric” “hydrogen”
Resolve multivalent options using aerobicity.
Exs: “FE” “CR” “MN”
Two-word substrates, substrate classes (no 3+ word substrates).
Ex: “amino acid”

11. 4. Assign an energy coupling.
Couplings: Channel, Secondary, ATP, PTS, Unknown
Search annotation for prioritized list of indicators. Exs:
"atp-binding" => ATP
"mfs" => SECONDARY
"pts" => PTS
"phosphotransferase" => PTS
"carrier" => SECONDARY
"channel" => CHANNEL
Some substrates imply a coupling. Ex:
protoheme => ATP
Absence of indicator => UNKNOWN

12. 5. Identify compartment of each substrate.
Use keywords to determine compartment of primary substrate (Exs: “export”, “antiporter”)
Otherwise assume primary substrate is transported into cell (periplasm => cytoplasm)
Deferred complex compartment analysis:
Assume E.coli-like cellular structure

13. 6. Group subunits of transporter complexes.
Many transporters are systems of several proteins. These are grouped into complexes
Grouping criteria; all must be met:
Predicted coupling is ATP or PEP
Predicted substrates are identical
Genes of proteins have a common operon (NOTE requirement on operon availability)
Resulting complex is added to PGDB as a frame Protein-Complexes.
Complexes may be created manually prior to running or re-running TIP. This may be useful if the organism has no operons.

14. 7. Construct full compartmental reaction from substrate and coupling.
Determine set of transported substrates for this transporter:
For SECONDARY coupling:
Identify auxiliary substrate providing ion gradient (H+, Na+)
Remove from transported substrate list
Place on side of reaction indicated by symport/antiport clues
For other couplings:
Determined previously in substrate analysis
Strictly a mechanical step, except some additional inference is done for secondary transporters.

15. 7. Construct full compartmental reaction from substrate and coupling (cont).
For each transported substrate of this transporter, either import reaction (from E.coli) or to create new one.
Search import KB for reaction with matching substrates:(find-rxn-by-substrates)
Transported substrate added with indicated compartment
Auxiliary substrates determined by coupling. Ex:
CHANNEL have none
ATP have ATP/H2O  ADP/phosphate
If one reaction is found, import: (import-reactions trxns src-kb dst-kb …)
If multiple reactions found, retain all.
Else if reaction is not present in PGDB, create new rxn

16. 7. Construct full compartmental reaction from substrate and coupling (cont).
Create new reaction:
Create reaction frame, subclass determined by coupling:
(create-instance-w-generated-id rxn-class)
Add transported and auxiliary substrates to appropriate sides of reaction

17. 8. Construct enzymatic reaction linking each reaction with protein.
For each created reaction:
(add-reactions-to-protein …)
Added evidence code, history string arguments
Subordinates new
[(import-reactions) handles import of enzymatic-reactions]

18. Running the Transport Inference Parser
1. Run Pathway Tools.
2. Make the organism of interest the current organism.
3. [Run operon predictor].
4. Select Tools/Pathologic.
5. From Pathologic, select Refine/Transport Inference Parser.
6. If running TIP for the first time on the organism, optionally provide its aerobicity.
7. Wait and observe progress.
8. When complete, Probable Transporter Table window appears.
9. You may now review and modify the inferred transporters.
Any attendees who are running TIP are advised to check that it has completed successfully. If not, identify any problems that occurred.

19. GUI Overview Window is titled: Probable Transporter Table for Organism
Table of inferred transporters is organized into columns:
Status
Gene
Substrate
Coupling
Reaction / Function
3. Each row contains a transport reaction description:
Multiple reactions per transport protein are possible
Sort by Gene (the default) to keep together visually
4. Aggregate pane shows counts by status.
5. Mousing over a reaction shows details in bottom pane.

20. Probable Transporter Table

21. Notional Probable Transporter Table
Status
Gene
Substrate
Coupling
Reaction /
Annotation
Un-reviewed
T0059
Ca2+
SECONDARY
Ca+2[c] + H+[p] =
Ca+2[p] + H+[c]
calcium/proton antiporter
Rejected
T3669
phosphate
ATP
H2O + ATP + phosphate[p] = ADP + 2 phosphate[c]
phosphate transport atp-binding protein
Accepted
T0080
Na+
CHANNEL
Na+[p] = Na+[c]
sodium channel

22. Reviewing and Editing Left-click on a row May edit:
Dialog box appears
May edit:
Function (name)
Energy coupling
May invoke Reaction Editor on reaction
May retract reaction
May update status

23. TIP Dialog

24. Transporter Status Unreviewed: Initial value of status Accepted:
Preserves edits
Incorporates transporter into PGDB upon save
Rejected:
Discard transporter upon save
Accept and Reject are undoable

25. Table row after rejection

26. Dialog after rejection
There is an analogous dialog when a transporter is accepted.

27. Filtering and Sorting Filtering excluded transporters from display:
Filter low- or high-confidence transporters (low-confidence usually means ‘no substrate’)
Filter by status
Filter by number of reactions per substrate
Sort transporters by columns like a spreadsheet:
Gene
Energy Coupling
Substrate number/name
Status (e.g., Accepted, Rejected)

28. Group Operations
TIP permits en masse acceptance or rejection of remaining predictions being shown:
Edit / Accept all Unreviewed predictions being shown
Edit / Reject all Unreviewed predictions being shown
Emphasize that transporters that are currently filtered out are not affected.

29. Saving Your Work
TIP has made in-memory modifications to the PGDB; nothing is saved until exit from TIP.
Exit / Save
saves all predictions & edits.
Exit / Cancel
reverts to most recent save.
Must exit to save work!
TIP is inconvenient in that it does not support the conventional change/save/change/save paradigm for saving work. One must change/exit/restart/change/exit/restart… The reason is that TIP makes in-memory changes to the PGDB, and allowing incremental changes would leave the PGDB in an unreviewed and potentially incorrect state.

30. Multisession Workflow
TIP remembers accepted predictions in the KB.
TIP remembers rejected transporters in a file under the organism directory.
To continue, re-run TIP and resume session.
If you don’t resume (i.e., start from scratch):
Will not re-predict Accepteds (they are in KB)
Will re-predict Rejecteds

31. Batch Mode TIP supports batch mode operation as well as interactive
Run by BRG for all Tier 3 PGDBs (>3000 KBs)
To support both automated and user-controlled operation:
Distinguish high- and low-confidence inferences
Automated mode accepts all high-confidence inferences