automated searching of polynucleotide sequences

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1 Automated Searching of Polynucleotide Sequences Michael P. Woodward Supervisory Patent Examiner - Art Unit 1631 571 272 0722 [email protected] John L. LeGuyader Supervisory Patent Examiner - Art Unit 1635 571 272 0760 [email protected]

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Automated Searching of Polynucleotide Sequences. Michael P. Woodward Supervisory Patent Examiner - Art Unit 1631 571 272 0722 [email protected] John L. LeGuyader Supervisory Patent Examiner - Art Unit 1635 571 272 0760 [email protected]. Standard Databases. - PowerPoint PPT Presentation

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Page 1: Automated Searching of  Polynucleotide Sequences

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Automated Searching of Polynucleotide Sequences

Michael P. WoodwardSupervisory Patent Examiner - Art Unit 1631

571 272 [email protected]

John L. LeGuyaderSupervisory Patent Examiner - Art Unit 1635

571 272 [email protected]

Page 2: Automated Searching of  Polynucleotide Sequences

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Standard Databases

• GenEMBL .rge

• N_Genseq .rng

• Issued_Patents_NA .rni

• EST .rst

• Published_Applications_NA .rnpb

Page 3: Automated Searching of  Polynucleotide Sequences

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Databases at Time of Allowability

• Pending_Patents_NA_Main .rnpm

• Pending_Patents_NA_New .rnpn

Page 4: Automated Searching of  Polynucleotide Sequences

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Types of Nucleotide Sequence Searching

• Standard (cDNA)

• Oligomer

• Length Limited Oligomer

• Score over Length

Page 5: Automated Searching of  Polynucleotide Sequences

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Types of Nucleotide Sequence Searching

• Standard (cDNA)– useful for finding full length hits– the query sequence is typically the full length of

the SEQ ID NO:– the search parameters are the default parameters-

Gap Opening Penalty & Gap Extension Penalty of 10

– standard suite of NA databases are searched– normally 45 results and the top fifteen alignments

are provided, however, additional results and alignments can be provided.

Page 6: Automated Searching of  Polynucleotide Sequences

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Standard (cDNA) search

• Fragments and genomic sequences are often difficult to find

• Fragments are buried in the hit list• The presence of introns in the

database sequence results in low scores.

Page 7: Automated Searching of  Polynucleotide Sequences

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Types of Nucleotide Sequence Searching

• Standard Oligomer – finds longest matching hits

– mismatches not tolerated in region of hit

match

• Length Limited Oligomer– returns database hits within length range

requested– mismatches not tolerated in region of hit

match

Page 8: Automated Searching of  Polynucleotide Sequences

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Standard Oligomer Searching

• Only provides the longest oligomer present in the sequence

• A thorough search of fragments requires multiple searches

• Can be an effective way of finding genomic sequences

Page 9: Automated Searching of  Polynucleotide Sequences

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Standard Oligomer Searching

• the search parameters are the default parameters-Gap Opening Penalty & Gap Extension Penalty of 60-mismatches not tolerated

• Consequently inefficient means of finding small sequences, and with <100% in correspondence

Page 10: Automated Searching of  Polynucleotide Sequences

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Claim 1

• An isolated polynucleotide comprising SEQ. ID. No: 1.

Page 11: Automated Searching of  Polynucleotide Sequences

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Searching Claim 1

• A standard search looking for full length hits is performed.

Page 12: Automated Searching of  Polynucleotide Sequences

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0001 CGGCTCGTATGTTGTGTGGAATTGTGAGCGGATAACAATTTCACACAGGAAACAGATGG 00602031 CGGCTCGTATGTTGTGTGGAATTGTGAGCGGATAACAATTTCACACAGG---CAGATGG 2090

Standard (cDNA) search result

Page 13: Automated Searching of  Polynucleotide Sequences

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Claim 2

• An isolated polynucleotide comprising at least 15 contiguous nucleotides of SEQ. ID. No: 1.

Page 14: Automated Searching of  Polynucleotide Sequences

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Searching Claim 2

• An standard oligomer search is performed with an oligomer length of 15 nucleotides set as the lower limit for a hit.

Page 15: Automated Searching of  Polynucleotide Sequences

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Oligomer Search Results

Standard Oligomer

CAAATGCAGGCCCCCGGACCTCCCTGCTCCTGGCTTTCGCCCTGCTCTGCCTGCCCTGG

Query CCCTGCTCCTGGCTTTCGCCCTGCTCTGCCTGCCCTGG 0060

Database CCCTGCTCCTGGCTTTCGCCCTGCTCTGCCTGCCCTGG 2500

Length Limited Oligomer

CAAATGCAGGCCCCCGGACCTCCCTGCTCCTGGCTTTCGCCCTGCTCTGCCTGCCCTGG 

Query CCCTGCTCCTGGCTTTCGCCCTGCTCTGCCTGCCCTGG 0060

Database CCCTGCTCCTGGCTTTCGCCCTGCTCTGCCTGCCCTGG 0039

 

Page 16: Automated Searching of  Polynucleotide Sequences

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Claim 3

• An isolated polynucleotide comprising a polynucleotide encoding a polypeptide of SEQ ID No: 2.

• (SEQ ID No: 2 is an Amino Acid (AA) sequence)

Page 17: Automated Searching of  Polynucleotide Sequences

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Searching Claim 3

• Seq ID No: 2 is searched against the Polypeptide databases and it is “back translated” and searched against the polynucleotide databases.

Page 18: Automated Searching of  Polynucleotide Sequences

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Claim 4

• An isolated polynucleotide comprising a polynucleotide with at least 90% identity to SEQ ID No: 1.

Page 19: Automated Searching of  Polynucleotide Sequences

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Searching Claim 4

• A standard search looking for full length hits is performed.

• Hits having at least 90% identity will appear in the results.

Page 20: Automated Searching of  Polynucleotide Sequences

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Claim 5

• An isolated polynucleotide comprising a polynucleotide which hybridizes under stringent conditions to SEQ ID No: 1.

Page 21: Automated Searching of  Polynucleotide Sequences

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Searching Claim 5

• A standard oligomer search is performed as well as a standard search.

Page 22: Automated Searching of  Polynucleotide Sequences

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Searching Small Nucleotide Sequences

John L. LeGuyader

Page 23: Automated Searching of  Polynucleotide Sequences

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Types of Small Nucleotide Sequences Claimed

• Fragments• Complements/Antisense• Primers/Probes• Oligonucleotides/Oligomers• Antisense/RNAi/Triplex/Ribozymes (inhibitory)

• Accessible Target/Region within Nucleic Acids• Aptamers• Nucleic Acid Binding Domains• Immunostimulatory CpG Sequences

Page 24: Automated Searching of  Polynucleotide Sequences

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Small Nucleotide Sequences Claimed as Sense or Antisense?

• What is being claimed? – Requesting the correct sequence search starts

with interpreting what is being claimed

• Complementary Sequences– DNA to DNA: C to G– DNA to RNA: A to U

• Matching Sequences– A to A– U to U

• DNA, RNA, Chimeric• cDNA, Message (mRNA), Genomic DNA

Page 25: Automated Searching of  Polynucleotide Sequences

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Impact of Sequence Identity and Length

• Size and Identity Matter• Complements/Matches

• 100% correspondence• Mismatches

- Varying Degrees of Percent Identity

• Gaps- Insertion or Deletions- Gap Extensions

• Wild Cards• % Query Match value approximates identity

• Adjustment of search parameters (e.g. Smith-Waterman Gap values) influences % Query Match value

Page 26: Automated Searching of  Polynucleotide Sequences

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Types of Nucleotide Sequence Searching

• Standard Search (cDNA)• Oligomer

– finds database hits with longest regions of matching residues

– mismatches not tolerated in region of hit match

• Length Limited Oligomer– returns database hits within requested length

range– mismatches not tolerated in region of hit match

• Score Over Length – finds mismatched sequence database hits based

on requested length and identity range

Page 27: Automated Searching of  Polynucleotide Sequences

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Why doesn’t a standard search of the cDNA provide an adequate search of fragments?

• Long length sequence hits with many matches and mismatches score higher and appear first on the hit list, compared to short sequences having high correspondence– lots of regional local similarity in a long sequence

scores higher than a 10-mer with 100% identity

• Consequence – small sequences, of 100% identity or less, are

buried tens of thousands of hits down the hit list– most small sequence hits effectively lost– especially for hits with <100% correspondence

Page 28: Automated Searching of  Polynucleotide Sequences

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Why doesn’t a standard search of the cDNA provide an adequate search of fragments?

• Fragments and types of sequence searches– Standard Search (cDNA): fragment hits

buried– oligomer: fragment hits buried– searching multiple fragments: millions of

hits and alignments to consider

• Each fragment of a specified sequence and length requires a separate search

Page 29: Automated Searching of  Polynucleotide Sequences

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Standard Oligomer Searching

• Won’t provide thorough search of fragments since longer hits score higher on hit table

• Smaller size hits lost, effectively not seen• Does not tolerate mismatches in region of

matches • Consequently inefficient means of finding

small sequences, and with <100% in correspondence

• Better suited to finding long sequences

Page 30: Automated Searching of  Polynucleotide Sequences

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Length Limited Oligomer Searching

• Sequence request needs to set size limit consistent with the size range being claimed

• Does not tolerate mismatches in region of matches

• Consequently inefficient means of finding small sequences with <100% in correspondence

• Better suited to finding small sequences with 100% correspondence

Page 31: Automated Searching of  Polynucleotide Sequences

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Score Over Length Searching

• Small oligos with <100% correspondence– within requested length and identity (>60%) range

• Manual manipulation of first 65,000 hits – necessitates 2+ additional hrs. of searcher’s time– does not include computer search time

• Calculation– Hit Score divided by Hit Length– for first 65,000 hits of table

• Hits then sorted by Score/Length value • First 65,000 hits likely to contain small length

sequence hits down to 60% identity

Page 32: Automated Searching of  Polynucleotide Sequences

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Searching Small Sequences: Example

Consider the following claim:

• An oligonucleotide consisting of 8 to 20 nucleotides which specifically hybridizes to a nucleic acid coding for mud loach growth hormone (Seq. Id. No. X).

• The specification teaches that oligonucleotides which specifically hybridize need not have 100% sequence correspondence.

Page 33: Automated Searching of  Polynucleotide Sequences

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Mud Loach Growth Hormone cDNA

• 670 nucleotides long• 630 nucleotides in the coding region• 210 amino acids

Page 34: Automated Searching of  Polynucleotide Sequences

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Standard Search GenBank Hit Table Against cDNA

Page 35: Automated Searching of  Polynucleotide Sequences

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Standard Search GenBank Hit Table Against cDNA

Page 36: Automated Searching of  Polynucleotide Sequences

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Standard Search GenBank Alignments Against cDNA

Page 37: Automated Searching of  Polynucleotide Sequences

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Standard Search GenBank Alignments Against cDNA

Page 38: Automated Searching of  Polynucleotide Sequences

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Oligomer Search GenBank Hit Table Against cDNA

Page 39: Automated Searching of  Polynucleotide Sequences

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Oligomer Search GenBank Hit Table Against cDNA

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Oligomer Search GenBank Alignments Against cDNA

Page 41: Automated Searching of  Polynucleotide Sequences

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Oligomer Search GenBank Alignments Against cDNA

Page 42: Automated Searching of  Polynucleotide Sequences

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Length-Limited (8 to 20) Oligomer Search GenBank Hit Table cDNA

Page 43: Automated Searching of  Polynucleotide Sequences

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Length-Limited (8 to 20) Oligomer Search GenBank Hit Table cDNA

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Length-Limited (8 to 20) Oligomer Search GenBank Alignments cDNA

Page 45: Automated Searching of  Polynucleotide Sequences

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Score/Length GenBank Hit Table Against cDNA: 8-20-mers down to 80%

Page 46: Automated Searching of  Polynucleotide Sequences

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Score/Length GenBank Hit Table Against cDNA: 8-20-mers down to 80%

Page 47: Automated Searching of  Polynucleotide Sequences

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Score/Length Alignments Against cDNA: 8-20-mers down to 80%

Page 48: Automated Searching of  Polynucleotide Sequences

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Score/Length Alignments Against cDNA: 8-20-mers down to 80%

Page 49: Automated Searching of  Polynucleotide Sequences

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QUESTIONS?

Michael P. WoodwardSupervisory Patent Examiner - Art Unit 1631

571 272 [email protected]

John L. LeGuyaderSupervisory Patent Examiner - Art Unit 1635

571 272 [email protected]