increasingly accurate representation of biochemistry (v2)
TRANSCRIPT
Increasingly Accurate Representation of Biochemistry (v2)
Michel Dumontier, Ph.D.Assistant Professor of Bioinformatics
Department of Biology, School of Computer ScienceInstitute of Biochemistry, Ottawa Institute of Systems Biology
Carleton University
1 SemWeb Group::Vancouver 21/05/2009
Representational Issues
Biochemical Identity
Accurate Descriptions
Precise Identifiers
Modeling Situations
Which of these are different?
# A, B Difference?
1 α-D-Glucose, alpha-D-Glucose None, multiple names
2 α-D-Glucose, β-D-Glucose
3 α-D-Glucose, β-D-Glucose, D-Glucose
4 α-D-Glucose, α-D-Glucose-6-phosphate
5 Hk, Hk(L529S)
6 Hk(human), Hk(mouse)
7 Hk(open), Hk(closed)
8 Hk (L529), Hk (L540)
9 Hk (L529), Hk (A530)
α-D-Glucose vs β-D-Glucose
• Rearrangement (isomer)• Related, but structurally different
α-D-Glucose and β-D-Glucose are more specific types* of D-Glucose
* They resolve an ambiguity in stereochemistry
α-D-Glucose vs α-D-Glucose-6-Phosphate
• Change (addition+removal) in atoms• Structurally different
– one is not a type of the other!
Post-Translational Modifications
• Structurally different• Unable to capture the difference with
single letter AA sequence representation
Hexokinase (mutation)
500 510 520 530 540 RRFHKTLRRL VPDSDVRFLL SESGSGKGAA MVTAVAYRSA EQHRQIEETL
500 510 520 530 540 RRFHKTLRRL VPDSDVRFLL SESGSGKGAA MVTAVAYRLA EQHRQIEETL
Leads to hemolytic anemia
different sequence = different entity
related by some mutation process
Hexokinase (human vs mouse)>sp|P19367|HXK1_HUMAN Hexokinase-1 OS=Homo sapiens GN=HK1 PE=1 SV=3 MIAAQLLAYYFTELKDDQVKKIDKYLYAMRLSDETLIDIMTRFRKEMKNGLSRDFNPTAT VKMLPTFVRSIPDGSEKGDFIALDLGGSSFRILRVQVNHEKNQNVHMESEVYDTPENIVH GSGSQLFDHVAECLGDFMEKRKIKDKKLPVGFTFSFPCQQSKIDEAILITWTKRFKASGV EGADVVKLLNKAIKKRGDYDANIVAVVNDTVGTMMTCGYDDQHCEVGLIIGTGTNACYME ELRHIDLVEGDEGRMCINTEWGAFGDDGSLEDIRTEFDREIDRGSLNPGKQLFEKMVSGM YLGELVRLILVKMAKEGLLFEGRITPELLTRGKFNTSDVSAIEKNKEGLHNAKEILTRLG VEPSDDDCVSVQHVCTIVSFRSANLVAATLGAILNRLRDNKGTPRLRTTVGVDGSLYKTH PQYSRRFHKTLRRLVPDSDVRFLLSESGSGKGAAMVTAVAYRLAEQHRQIEETLAHFHLT KDMLLEVKKRMRAEMELGLRKQTHNNAVVKMLPSFVRRTPDGTENGDFLALDLGGTNFRV LLVKIRSGKKRTVEMHNKIYAIPIEIMQGTGEELFDHIVSCISDFLDYMGIKGPRMPLGF TFSFPCQQTSLDAGILITWTKGFKATDCVGHDVVTLLRDAIKRREEFDLDVVAVVNDTVG TMMTCAYEEPTCEVGLIVGTGSNACYMEEMKNVEMVEGDQGQMCINMEWGAFGDNGCLDD IRTHYDRLVDEYSLNAGKQRYEKMISGMYLGEIVRNILIDFTKKGFLFRGQISETLKTRG IFETKFLSQIESDRLALLQVRAILQQLGLNSTCDDSILVKTVCGVVSRRAAQLCGAGMAA VVDKIRENRGLDRLNVTVGVDGTLYKLHPHFSRIMHQTVKELSPKCNVSFLLSEDGSGKG AALITAVGVRLRTEASS
>sp|P17710|HXK1_MOUSE Hexokinase-1 OS=Mus musculus GN=Hk1 PE=1 SV=2 MGWGAPLLSRMLHGPGQAGETSPVPERQSGSENPASEDRRPLEKQCSHHLYTMGQNCQRG QAVDVEPKIRPPLTEEKIDKYLYAMRLSDEILIDILTRFKKEMKNGLSRDYNPTASVKML PTFVRSIPDGSEKGDFIALDLGGSSFRILRVQVNHEKSQNVSMESEVYDTPENIVHGSGS QLFDHVAECLGDFMEKRKIKDKKLPVGFTFSFPCRQSKIDEAVLITWTKRFKASGVEGAD VVKLLNKAIKKRGDYDANIVAVVNDTVGTMMTCGYDDQQCEVGLIIGTGTNACYMEELRH IDLVEGDEGRMCINTEWGAFGDDGSLEDIRTEFDRELDRGSLNPGKQLFEKMVSGMYMGE LVRLILVKMAKESLLFEGRITPELLTRGKFTTSDVAAIETDKEGVQNAKEILTRLGVEPS HDDCVSVQHVCTIVSFRSANLVAATLGAILNRLRDNKGTPRLRTTVGVDGSLYKMHPQYS RRFHKTLRRLVPDSDVRFLLSESGSGKGAAMVTAVAYRLAEQHRQIEETLSHFRLSKQAL MEVKKKLRSEMEMGLRKETNSRATVKMLPSYVRSIPDGTEHGDFLALDLGGTNFRVLLVK IRSGKKRTVEMHNKIYSIPLEIMQGTGDELFDHIVSCISDFLDYMGIKGPRMPLGFTFSF PCKQTSLDCGILITWTKGFKATDCVGHDVATLLRDAVKRREEFDLDVVAVVNDTVGTMMT CAYEEPSCEIGLIVGTGSNACYMEEMKNVEMVEGNQGQMCINMEWGAFGDNGCLDDIRTD FDKVVDEYSLNSGKQRFEKMISGMYLGEIVRNILIDFTKKGFLFRGQISEPLKTRGIFET KFLSQIESDRLALLQVRAILQQLGLNSTCDDSILVKTVCGVVSKRAAQLCGAGMAAVVQK IRENRGLDHLNVTVGVDGTLYKLHPHFSRIMHQTVKELSPKCTVSFLLSEDGSGKGAALI TAVGVRLRGDPTNA
Hexokinase
Open vs Closed
Structurally identical, but conformationally different
Parts need to be identifiable and describable
# A, B Difference?
1 α-D-Glucose, alpha-D-Glucose None, multiple names
2 α-D-Glucose, β-D-Glucose Structural (rearrangement)
3 α-D-Glucose, β-D-Glucose, D-Glucose More specific type
4 α-D-Glucose, α-D-Glucose-6-phosphate Structural (modification)
5 Hk, Hk(L529S) Structural (mutation)
6 Hk(human), Hk(mouse) Structural (sequence)
7 Hk(open), Hk(closed) Conformational
8 Hk (L529), Hk (L540) Positional
9 Hk (L529), Hk (A530) Structural, positional
Biochemical identity
is necessarily based on
a description of structure
To determine identity, we have compare their descriptions
Given A and B
How would you know that they are different?
Given two descriptions about a protein, but where their names differ, how do you know they are the same or different?
– Structure (sequence)– PTMs– Organism– Function, Process, Localization– Conformation
Biochemical identity
is necessarily based on
having accurate descriptions
Yet, current approaches add *annotations* rather than create new records with their
respective descriptions
Current approach to assigning biochemical identifiers is erroneous, misleading or underspecified
• Information gathered from multiple structural variants are attributed to the unmodified form.
Uniprot/Genbank
• This conflates functionality arising from similar, but different structural forms
Inaccurate specification of knowledge
• Incomplete descriptions are just as bad– Reactome has an internal
identifier for referring to different forms, but links to Uniprot entries
– Obfuscates identity between databases
Biochemical relationship
is necessarily based on
a comparison of accurate descriptions
For each description, we must
assign a unique name or identifier
If the description changes
we need a new identifier!
1. Precise Biochemical Identifiers
• Identifiers and their exact descriptions are required for these kinds of entities:– atom : atomic interactions, catalytic mechanism– collection of atoms : binding/catalytic site,
interaction– residue : post translational modification– collection of residues : motif/domain/interaction site– molecule : metabolism, signalling – complex : metabolism , signalling, scaffolds,
containers
• We need a reproducible methodology for naming and providing descriptions
Different molecules must have different identifiers
• IUPAC International Chemical Identifier (InChI)• A data string that provides
– the structure of a chemical compound – the convention for drawing the structure
• It can be made by anyone, anywhere at any time – a deterministic algorithm ensures that is always written in the same way (syntactic identity), and fully specifies the molecular description (semantic identity).
– It is a data identifier
(S)-Glutamic Acid
InChI={version}1/{formula}C5H9NO4/c{connections}6-3(5(9)10)1-2-4(7)8/h{H_atoms}3H,1-2,6H2,(H,7,8)(H,9,10)/p{protons}+1/t{stereo:sp3}3-/m{stereo:sp3:inverted}0/s{stereo:type (1=abs, 2=rel, 3=rac)}1/i{isotopic:atoms}4+1
CMLSDF
O1[C@@H]([C@@H](O)([C@H](O)([C@@H](O)([C@@H]1(O)))))(CO) 79025
IUPAC
InChI=1/C6H12O6/c7-1-2-3(8)4(9)5(10)6(11)12-2/h2-11H,1H2/t2-,3-,4+,5-,6+/m1/s1InCHI
α-D-Glucose
6-(hydroxymethyl)oxane-2,3,4,5-tetrol OR (2R,3R,4S,5R,6R)-6 -(hydroxymethyl)tetrahydro -2H-pyran-2,3,4,5-tetraol
SMILES
2. Accurate Descriptions
OWL Has Explicit Semantics
Can therefore be used to capture knowledge in a machine understandable way
Chemical Ontology
Chemical Knowledge for the Semantic Web.Mykola Konyk, Alexander De Leon, and Michel Dumontier. LNBI. 2008. 5109:169-176. Data Integration in the Life Sciences (DILS2008). Evry. France.
http://code.google.com/p/semanticwebopenbabel/
RDF/OWL descriptions of molecules
hydroxyl groupmethyl group
Knowledge of functional groups is important in chemical synthesis, pharmaceutical design and lead optimization.
Functional groups describe chemical reactivity in terms of atoms and their connectivity, and exhibits characteristic chemical behavior when present in a compound.
Describing chemical functional groups in OWL-DL for the classification of chemical compounds
N Villanueva-Rosales, MDumontier. 2007. OWLED, Innsbruck, Austria.
Ethanol
Describing Functional Groups in DL
HydroxylGroup: CarbonGroup that (hasSingleBondWith some (OxygenAtom that hasSingleBondWith some HydrogenAtom)
OHR
R group
Fully Classified Ontology
35 FG
And, we define certain compounds
Alcohol: OrganicCompound that (hasPart some HydroxylGroup)
Organic Compound Ontology
28 OC
Question Answering
• Query all attributes
• Query PubChem, DrugBank and dbPedia
We also need Identifiers/Descriptions for Atoms
• Atom identifiers need to be consistently assigned – OpenBabel plugin component naming was first come,
first served along with the assigned mol identifier from PubChem SDF files.
e.g. id#aN, where a is the “atom” label and N is the position
– Canonical numbering (InChI) is required
• Atom descriptions need only specify the mereological relation:id#aN :isProperPartOf :id
What about identifiers for collection of atoms?
• Potentially useful in describing residues, PTMs, binding sites, etc. – Is the lack of connectivity sufficient?
• Contiguous: – ranges (id#aN-aN)– enumerations (id#aN,aN,aN)
• Non-contiguous:– Combination of ranges, enumerations?
Can we reuse our positional nomenclature for residues?
• Residues are generally referred to by their absolute position in the biopolymer sequence.Global atom numbering:
id#a50-a65 owl:sameAs id#r5Residue specific atom numbering
id#r5_a1-r5_a15 owl:sameAs id#r5
• Collection of residues might follow the same rules as a collection of atoms.– Useful for defining domains, motifs, etc
While we’re at it, we could extend our expressive capability to create broader descriptions:
• Specification – Exactly mod1@pos X– Only mod1@posX
• Minimum : – At least mod1@posX
• Combination:– mod1@posX AND mod2@posY, X != Y
• Possibilities/Uncertainty: – (mod1 OR mod2) @posX
• Exclusion:– not mod1 @ posX
So what if...we describe the structural features of the molecule with OWL (sequence + PTMs), and generate an identifier from one of its serializations?
that way we get a unique identifier with a description that is extensible and compatible with the semantic web.
Biological Identifier Service
Description to Identifier
What does this mean?
• Identifier exactly matches the description– Great as a primary key for databases – Can be used for citation purposes (no more fuzzy
diagrams!)• exact description can be obtained for a given identifier.
• Description is extensible, and new identifiers can be autogenerated, independently– Needs canonical serialization / central service– Histories can be made, and published
Case Study: HIF1αHypoxia-Inducible Factor 1, alpha chain (uniprot:Q16665)Master transcriptional regulator of the adaptive response to hypoxia
• Under normoxic conditions, HIF1α is hydroxylated on Pro-402 and Pro-564 in the oxygen-dependent degradation domain (ODD) by EGLN1/PHD1 and EGLN2/PHD2. EGLN3/PHD3 has also been shown to hydroxylate Pro-564. The hydroxylated prolines promote interaction with VHL, initiating rapid ubiquitination and subsequent proteasomal degradation.
Situationb) Normoxicc) Hypoxicd) Other/Unspecified
Multiple structural forms
Part, named/ unnamed regions
The part is the agent in the process
Selective interaction with parts
Structure-based biochemical identity:Differences between apples and oranges
• HIF1α – au naturel• HIF1α
– hydroxylated @P402
• HIF1α– hydroxylated @P564
• HIF1α– hydroxylated @P402 & @P564
• HIF1α– hydroxylated @P402 & (@P564)– ubiquitinated @K532
• HIF1α– L400A & L397A
Uniprot example revisited
Under normoxic conditions, HIF1α is hydroxylated on Pro-402 and Pro-564 in the oxygen-dependent degradation domain (ODD) by EGLN1/PHD1 and EGLN2/PHD2. The hydroxylated prolines promote interaction with VHL, initiating rapid ubiquitination and subsequent proteasomal degradation
.
:A rdfs:subClassOf :Hydroxylation:A hasParticipant (:0#r402 and :Substrate):A hasParticipant (:1#r402 and :Product):A hasParticipant (:5 and :Enzyme)
:B rdfs:subClassOf :Interaction:B :hasParticipant (:2#r402 or :3#r564 or :4#r402,r564):B :hasParticipant (:6)
:1 (HIF1α):2 (HIF1α + P402hyd):3 (HIF1α + P564hyd):4 (HIF1α + P402hyd + P564hyd):5 (EGLN1):6 (VHL)
Please ignore the made up short-hand syntax!
Situational Modeling
Infering Protein Participation
• OWL Role ChainhasParticipant o isPartOf -> hasParticipant
if process has the part as a participant, then the whole is also a participant
:0#r402 :isPartOf :0:1#r402 :isPartOf :1
:A rdfs:subClassOf :Hydroxylation:A hasParticipant (:0#r402 and :Substrate):A hasParticipant (:1#r402 and :Product)
:A hasParticipant :0:A hasParticipant :1
We will add new knowledge about biochemicals and their parts into the linked data web through Bio2RDF!
Query descriptions to find matching biochemicals
• Chemical– Structural– Conformation (e.g. open vs closed form)– Collections (alpha vs beta forms of D-glucose)
• Biological– Species– mRNA/Gene from which it was transcribed/encoded– Reactions / post-translational modifications– Mutations
Summary
• Biochemical identity is tightly linked to accurate descriptions.
• Automatic and consistent identifier generation will allow anybody to specify findings according to the biopolymers for which it was observed– No curation required!!!!– Will be discovered automatically – link biochemical knowledge at various levels of granularity
• Situational modeling enables the careful separation of what is known under a particular circumstance.
dumontierlab.com
Special thanks to PhD Student Leonid Chepelev for insightful discussions
semanticscience.org