Lecture 7-8

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Databases

Where to get data?

• GenBank

– http://www.ncbi.nlm.nih.gov

• Protein Databases

– SWISS-PROT: http://www.expasy.ch/sprot

– PDB: http://www.pdb.gov/

• And many others

Bibliograph y

Growth in genome sequencing

Working Draft Sequence

gaps

The reagent: databases

• Organized array of information

• Place where you put things in, and (if all is well) you should be able to get them out again.

• Resource for other databases and tools.

• Simplify the information space by specialization.

• Bonus: Allows you to make discoveries.

Contains files or tables, each containing numerous records and fields

Simplest form, either a large single text file or collection of text files

Commonest type, stores the data within a number of tables (with records and fields). Each table will link each other by a shared file called a key

Flat file

Relational database model

The operators are written in query-specific languages based on relational algebra

Structured Query Language (SQL) is commonly used

• XML (eXtensible Markup Language) is now a general tool for storage of data and information. HTML and XHTML are subsets of XML.

• The key feature is to use identifiers called tabs

• <title> Understanding Bioinformatics </ title>

• <publisher> tag can be defined and used to identify book publishers

• Extraction from XML file is similar to database querying.

Databases

Information system

Query system

Storage System

Data

GenBank flat file

PDB file

Interaction Record

Title of a book

Book

Databases

Information system

Query system

Storage System

Data

Boxes

Oracle

MySQL

PC binary files

Unix text files

Bookshelves

Databases

Information system

Query system

Storage System

Data

A List you look at

A catalogue indexed files

SQL grep

Databases

Information system

Query system

Storage System

Data

The UBC library

Google

Entrez

SRS

Bioinformatics Information Space

July 17, 1999

• Nucleotide sequences:

• Protein sequences:

• 3D structures:

• Human Unigene Clusters:

4,456,822

9,780

706,862

75,832

• Maps and Complete Genomes:

• Different species node:

• dbSNP

• RefGenes

10,870

52,889

• human contigs > 250 kb 341 (4.9MB)

6,377

515

• PubMed records:

• OMIM records:

10,372,886

10,695

The challenge of the information space:

Feb 10 2004

Nucleotide records

Protein sequences

3D structures

Interactions & complexes

36,653,899

4,436,362

19,640

52,385

Human Unigene Cluster

Maps and Complete Genomes

118,517

6,948

Different taxonomy Nodes 283,121

Human dbSNP 13,179,601

Human RefSeq records 22,079 bp in Human Contigs > 5,000 kb (116) 2,487,920,000

PubMed records 12,570,540

OMIM records 15,138

From a CBW student course evaluation:

“I could probably live the rest of my life happily without ever seeing the ‘growth of GenBank’ curve … again.”

• Primary (archival)

– GenBank/EMBL/DDBJ

– UniProt

– PDB

– Medline (PubMed)

– BIND

Databases

• Secondary (curated)

– RefSeq

– Taxon

– UniProt

– OMIM

– SGD

http://nar.oupjournals.org/content/vol31/issue1/

Tools of trade for the “armchair scientist”

• Databases

– PubMed and other NCBI databases

– Biochemical databases

– Protein domain databases

– Structural databases

– Genome comparison databases

• Tools

– CDD / COGs

– VAST / FSSP

Distribution of the type of databases as classified at the

NAR database web site

Types of databases

• Archival or Primary Data

– Text: PubMed

– DNA Sequence: GenBank

– Protein Sequence: Entrez Proteins, TREMBL

– Protein Structures: PDB

• Curated or Processed Data

– DNA sequences : RefSeq, LocusLink, OMIM

– Protein Sequences: SWISS-PROT, PIR

– Protein Structures : SCOP, CATH, MMDB

– Genomes: Entrez Genomes, COGs

Nucleic Acids Research: Database Issue each January 1 Articles on ~100 different databases

4 ways to access protein and DNA sequences

[1] LocusLink with RefSeq

[2] Entrez

[3] UniGene

UniGene collects expressed sequence tags (ESTs) into clusters, in an attempt to form one gene per cluster.

Use UniGene to study where your gene is expressed in the body, when it is expressed, and see its abundance.

[4] ExPASy SRS

4 ways to access protein and DNA sequences

[1] LocusLink with RefSeq

[2] Entrez

[3] UniGene

[4] ExPASy SRS

There are many bioinformatics servers outside NCBI.

Try ExPASy’s sequence retrieval system at http://www.expasy.ch/

(ExPASy = Expert Protein Analysis System)

Or try ENSEMBL at www.ensembl.org for a premier human genome web browser.

National Center for Biotechnology

Information (NCBI) www.ncbi.nlm.nih.gov

Page 24

The National Center for Biotechnology Information (NCBI)

• Created as a part of the National Library of Medicine,

National Institutes of Health in 1988

– Establish public databases

– Research in computational biology

– Develop software tools for sequence analysis

– Disseminate biomedical information

• Tools: BLAST(1990), Entrez (1992)

• GenBank (1992)

• Free MEDLINE (PubMed, 1997)

• Other databases: dbEST, dbGSS, dbSTS,

MMDB, OMIM, UniGene, Taxonomy,

GeneMap, SAGE, LocusLink, RefSeq

What is GenBank?

• Archival nucleotide sequence database

• Sample slogans:

“Easy deposits, unlimited withdrawals, high interest”, “All bases covered”, served”

“Billions and billions

• Data are shared nightly among three collaborating databases:

• GenBank at NCBI - Bethesda, Maryland, USA

• DNA Database of Japan (DDBJ) at NIG -

Mishima, Japan

• European Molecular Biology Laboratory

Database (EMBL) at EBI - Hinxton, UK

Some guiding principles of working with GenBank

• GenBank is a nucleotide-centric view of the information space

• GenBank is a repository of all publically available sequences

• In GenBank, records are grouped for various reasons

• Data in GenBank is only as good as what you put in

NCBI databases and their links

Phylogeny

Taxonomy

Article

Abstracts

Word Weight

Medline

Genomes

3 D

Structure

MMDB

VAST

BLAST

Nucleotide

Sequences

Protein

Sequences

BLAST

www.ncbi.nlm.nih.gov

Fig. 2.5

Page 25

Fig. 2.5

Page 25

PubMed is…

• National Library of Medicine's search service

• 16 million citations in MEDLINE

• links to participating online journals

• PubMed tutorial (via “Education” on side bar)

Page 24

Entrez integrates…

• the scientific literature;

• DNA and protein sequence databases;

• 3D protein structure data;

• population study data sets;

• assemblies of complete genomes

Page 24

Entrez is a search and retrieval system that integrates NCBI databases

Page 24

Entrez:

An integrated search and retrieval system

BLAST is…

• Basic Local Alignment Search Tool

• NCBI's sequence similarity search tool

• supports analysis of DNA and protein databases

• 100,000 searches per day

Page 25

OMIM is…

•Online Mendelian Inheritance in Man

•catalog of human genes and genetic disorders

•edited by Dr. Victor McKusick, others at JHU

Page 25

OMIM record for Presenilin 1 (PSEN1)

Content s

Additional info in OMIM

Associated LocusLink record

External resources

Each record provides a state of the art summary of current knowledge

Extensive references to literature

OMIM Search Results by Titles

alzheimer AND presenilin 1

Entrez Genome: Gene Location

View of chromoso me 14

Multiple Maps

STSs, ESTs, etc.

Gene

Name

Integrated View of Chromosome 7

Entrez

Genomes Map

Viewer

Chromosome

7

GenBank Map

Contig Map

STS Map

Multiple Maps

STSs, ESTs, etc.

Entrez Genome: Gene Location

View of chromoso me 14

Gene

Name

Entrez Genome: Gene Location

Entrez

Genomes

Map Viewer

Chromosome

14 Cytogenetic map

Location of

PSEN1 and surrounding genes

Books is…

• searchable resource of on-line books

Page 26

TaxBrowser is…

• browser for the major divisions of living organisms

(archaea, bacteria, eukaryota, viruses)

• taxonomy information such as genetic codes

• molecular data on extinct organisms

Page 26

Structure site includes…

Molecular Modelling Database (MMDB)

• biopolymer structures obtained from the Protein Data Bank (PDB)

• Cn3D (a 3D-structure viewer)

• vector alignment search tool (VAST)

Page 26

• Protein DataBase

– Protein and NA

3D structures

– Sequence present

– YAFFF

PDB

PDB

• HEADER

• COMPND

• SOURCE

• AUTHOR

• DATE

• JRNL

• REMARK

JRNL TITL 3 FLEXIBILITY 1DGC 11

JRNL REF J.MOL.BIOL. V. 233 139 1993 1DGC 12

JRNL REFN ASTM JMOBAK UK ISSN 0022-2836 0070 1DGC 13

REMARK 1 1DGC 14

REMARK 2 1DGC 15

REMARK 2 RESOLUTION. 3.0 ANGSTROMS. 1DGC 16

REMARK 3 1DGC 17

REMARK 3 REFINEMENT. 1DGC 18

REMARK 3 PROGRAM X-PLOR 1DGC 19

REMARK 3 AUTHORS BRUNGER 1DGC 20

REMARK 3 R VALUE 0.216 1DGC 21

REMARK 3 RMSD BOND DISTANCES 0.020 ANGSTROMS 1DGC 22

REMARK 3 RMSD BOND ANGLES 3.86 DEGREES 1DGC 23

REMARK 3 1DGC 24

REMARK 3 NUMBER OF REFLECTIONS 3296 1DGC 25

REMARK 3 RESOLUTION RANGE 10.0 - 3.0 ANGSTROMS 1DGC 26

REMARK 3 DATA CUTOFF 3.0 SIGMA(F) 1DGC 27

REMARK 3 PERCENT COMPLETION 98.2 1DGC 28

REMARK 3 1DGC 29

REMARK 3 NUMBER OF PROTEIN ATOMS 456 1DGC 30

REMARK 3 NUMBER OF NUCLEIC ACID ATOMS 386 1DGC 31

REMARK 4 1DGC 32

REMARK 4 GCN4: TRANSCRIPTIONAL ACTIVATOR OF GENES ENCODING FOR AMINO 1DGC 33

REMARK 4 ACID BIOSYNTHETIC ENZYMES. 1DGC 34

REMARK 5 1DGC 35

REMARK 5 AMINO ACIDS NUMBERING (RESIDUE NUMBER) CORRESPONDS TO THE 1DGC 36

REMARK 5 281 AMINO ACIDS OF INTACT GCN4. 1DGC 37

REMARK 6 1DGC 38

REMARK 6 BZIP SEQUENCE 220 - 281 USED FOR CRYSTALLIZATION. 1DGC 39

REMARK 7 1DGC 40

REMARK 7 MODEL FROM AMINO ACIDS 227 - 281 SINCE AMINO ACIDS 220 1DGC 41

REMARK 7 226 ARE NOT WELL ORDERED. 1DGC 42

REMARK 8 1DGC 43

REMARK 8 RESIDUE NUMBERING OF NUCLEOTIDES: 1DGC 44

REMARK 8 5' T G G A G A T G A C G T C A T C T C C 1DGC 45

REMARK 8 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 6 7 8 9 1DGC 46

REMARK 9 1DGC 47

REMARK 9 THE ASYMMETRIC UNIT CONTAINS ONE HALF OF PROTEIN/DNA 1DGC 48

REMARK 9 COMPLEX PER ASYMMETRIC UNIT. 1DGC 49

REMARK 10 1DGC 50

REMARK 10 MOLECULAR DYAD AXIS OF PROTEIN DIMER AND PALINDROMIC HALF 1DGC 51

REMARK 10 SITES OF THE DNA COINCIDES WITH CRYSTALLOGRAPHIC TWO-FOLD 1DGC 52

REMARK 10 AXIS. THE FULL PROTEIN/DNA COMPLEX CAN BE OBTAINED BY 1DGC 53

REMARK 10 APPLYING THE FOLLOWING TRANSFORMATION MATRIX AND 1DGC 54

REMARK 10 TRANSLATION VECTOR TO THE COORDINATES X Y Z: 1DGC 55

REMARK 10 1DGC 56

REMARK 10 0 -1 0 X 117.32 X SYMM 1DGC 57

REMARK 10 -1 0 0 Y + 117.32 = Y SYMM 1DGC 58

• SECRES

REMARK 10 0 0 -1 Z 43.33 Z SYMM 1DGC 59

SEQRES 1 A 62 ILE VAL PRO GLU SER SER ASP PRO ALA ALA LEU LYS ARG 1DGC 60

SEQRES 2 A 62 ALA ARG ASN THR GLU ALA ALA ARG ARG SER ARG ALA ARG 1DGC 61

SEQRES 3 A 62 LYS LEU GLN ARG MET LYS GLN LEU GLU ASP LYS VAL GLU 1DGC 62

SEQRES 4 A 62 GLU LEU LEU SER LYS ASN TYR HIS LEU GLU ASN GLU VAL 1DGC 63

• ATOM COORDINATES

SEQRES 2 B 19 A T C T C C 1DGC 66

HELIX 1 A ALA A 228 LYS A 276 1 1DGC 67

CRYST1 58.660 58.660 86.660 90.00 90.00 90.00 P 41 21 2 8 1DGC 68

ORIGX1 1.000000 0.000000 0.000000 0.00000 1DGC 69

ORIGX2 0.000000 1.000000 0.000000 0.00000 1DGC 70

ORIGX3 0.000000 0.000000 1.000000 0.00000 1DGC 71

SCALE1 0.017047 0.000000 0.000000 0.00000 1DGC 72

SCALE2 0.000000 0.017047 0.000000 0.00000 1DGC 73

SCALE3 0.000000 0.000000 0.011539 0.00000 1DGC 74

ATOM 1 N PRO A 227 35.313 108.011 15.140 1.00 38.94 1DGC 75

ATOM 2 CA PRO A 227 34.172 107.658 15.972 1.00 39.82 1DGC 76

Accessing information on molecular sequences

Page 26

Accession numbers are labels for sequences

NCBI includes databases (such as GenBank) that contain information on DNA, RNA, or protein sequences.

You may want to acquire information beginning with a query such as the name of a protein of interest, or the raw nucleotides comprising a DNA sequence of interest.

DNA sequences and other molecular data are tagged with accession numbers that are used to identify a sequence or other record relevant to molecular data.

Page 26

What is an accession number?

An accession number is label that used to identify a sequence. It is a string of letters and/or numbers that corresponds to a molecular sequence.

Examples (all for retinol-binding protein, RBP4):

X02775

NT_030059

Rs7079946

N91759.1

NM_006744

NP_007635

AAC02945

Q28369

1KT7

GenBank genomic DNA sequence

Genomic contig dbSNP (single nucleotide polymorphism)

An expressed sequence tag (1 of 170)

RefSeq DNA sequence (from a transcript)

RefSeq protein

GenBank protein

SwissProt protein

Protein Data Bank structure record

DNA

RNA protein

Page 27

Four ways to access DNA and protein sequences

[1] Entrez Gene with RefSeq

[2] UniGene

[3] European Bioinformatics Institute (EBI) and Ensembl (separate from NCBI)

[4] ExPASy Sequence Retrieval System

(separate from NCBI)

Note: LocusLink at NCBI was recently retired.

The third printing of the book has updated these sections (pages 27-31).

Page 27

4 ways to access protein and DNA sequences

[1] Entrez Gene with RefSeq

Entrez Gene is a great starting point: it collects key information on each gene/protein from major databases. It covers all major organisms.

RefSeq provides a curated, optimal accession number for each DNA (NM_006744) or protein (NP_007635)

Page 27

From the NCBI home page, type “rbp4” and hit “Go”

Pevsner

Fig. 2.7

Page 29

revised

Fig. 2.7

Page 29

By applying limits, there are now just two entries

GenBank Record

Locus Name

Accession Number gi Number

[ rest of protein sequence deleted for brevity]

[rest of nucleotide sequence deleted for brevity]

Medline ID

Protein Sequence

GenPept ID

Nucleotide Sequence

LOCUS, Accession, NID and protein_id

LOCUS : Unique string of 10 letters and numbers in the database. Not maintained amongst databases, and is therefore a poor sequence identifier.

ACCESSION : A unique identifier to that record, citable entity; does not change when record is updated. A good record identifier, ideal for citation in publication.

VERSION: : New system where the accession and version play the same function as the accession and gi number.

Nucleotide gi: Geninfo identifier (gi), a unique integer which will change every time the sequence changes.

PID : Protein Identifier: g, e or d prefix to gi number.

Can have one or two on one CDS.

Protein gi : Geninfo identifier (gi), a unique integer which will change every time the sequence changes.

protein_id : Identifier which has the same structure and function as the nucleotide Accession.version

numbers, but slightlt different format.

Entrez Gene (top of page)

Note that links to many other RBP4 database entries are available revised

Fig. 2.8

Page 30

Entrez Gene (middle of page)

Entrez Gene (bottom of page)

Fig. 2.9

Page 32

Fig. 2.9

Page 32

Fig. 2.9

Page 32

FASTA format

Fig. 2.10

Page 32

What is an accession number?

An accession number is label that used to identify a sequence. It is a string of letters and/or numbers that corresponds to a molecular sequence.

Examples (all for retinol-binding protein, RBP4):

X02775

NT_030059

Rs7079946

N91759.1

NM_006744

NP_007635

AAC02945

Q28369

1KT7

GenBank genomic DNA sequence

Genomic contig dbSNP (single nucleotide polymorphism)

An expressed sequence tag (1 of 170)

RefSeq DNA sequence (from a transcript)

RefSeq protein

GenBank protein

SwissProt protein

Protein Data Bank structure record

DNA

RNA protein

Page 27

NCBI’s important RefSeq project: best representative sequences

RefSeq (accessible via the main page of NCBI) provides an expertly curated accession number that corresponds to the most stable, agreedupon “reference” version of a sequence.

RefSeq identifiers include the following formats:

Complete genome NG_######

Complete chromosome NC_######

Genomic contig mRNA (DNA format)

Protein

NT_######

NM_###### e.g. NM_006744

NP_###### e.g. NP_006735

Page 29-30

NCBI’s RefSeq project: accession for genomic, mRNA, protein sequences

Accession

AC_123456

AP_123456

NC_123456

NG_123456

NM_123456

NM_123456789

NP_123456

NP_123456789

NR_123456

Molecule

Genomic

Protein

Genomic

Genomic mRNA mRNA

Protein

Protein

RNA

NT_123456

NW_123456

Genomic

Genomic

NZ_ABCD12345678 Genomic

XM_123456

XP_123456

XR_123456

YP_123456

ZP_12345678 mRNA

Protein

RNA

Protein

Protein

Method

Mixed

Mixed

Mixed

Mixed

Mixed

Mixed

Mixed

Curation

Mixed

Note

Alternate complete genomic

Protein products; alternate

Complete genomic molecules

Incomplete genomic regions

Transcript products; mRNA

Transcript products; 9-digit

Protein products;

Protein products; 9-digit

Non-coding transcripts

Automated

Automated

Automated

Genomic assemblies

Genomic assemblies

Whole genome shotgun data

Automated

Automated

Transcript products

Protein products

Automated Transcript products

Auto. & Curated Protein products

Automated Protein products

Four ways to access DNA and protein sequences

[1] Entrez Gene with RefSeq

[2] UniGene

[3] European Bioinformatics Institute (EBI) and Ensembl (separate from NCBI)

[4] ExPASy Sequence Retrieval System

(separate from NCBI)

Page 31

DNA RNA protein complementary DNA

(cDNA)

UniGene

In genetics , complementary DNA (cDNA) is DNA synthesized from a mature mRNA template in a reaction catalyzed by the enzyme reverse transcriptase .

Fig. 2.3

Page 23

Expressed Sequence Tag

What Are ESTs and How Are They Made?

ESTs are small pieces of DNA sequence (usually 200 to 500 nucleotides long) that are generated by sequencing either one or both ends of an expressed gene. The idea is to sequence bits of DNA that represent genes expressed in certain cells, tissues, or organs from different organisms and use these

" tags " to fish a gene out of a portion of chromosomal

DNA by matching base pairs. The challenge associated with identifying genes from genomic sequences varies among organisms and is dependent upon genome size as well as the presence or absence of introns , the intervening DNA sequences interrupting the protein coding sequence of a gene.

STS

Sequenced Tagged Sites, are operationally unique sequence that identifies the combination of primer pairs used in a PCR assay that generate a mapping reagent which maps to a single position within the genome.

Also see: http://www.ncbi.nlm.nih.gov/dbSTS/ http://www.ncbi.nlm.nih.gov/genemap/

UniGene: unique genes via ESTs

• Find UniGene at NCBI: www.ncbi.nlm.nih.gov/UniGene

• UniGene clusters contain many expressed sequence tags (ESTs), which are DNA sequences (typically

500 base pairs in length) corresponding to the mRNA from an expressed gene. ESTs are sequenced from a complementary DNA (cDNA) library.

• UniGene data come from many cDNA libraries.

Thus, when you look up a gene in UniGene you get information on its abundance and its regional distribution.

Pages 20-21

Cluster sizes in UniGene

This is a gene with

1 EST associated; the cluster size is 1 Fig. 2.3

Page 23

Cluster sizes in UniGene

This is a gene with

10 ESTs associated; the cluster size is 10

Cluster sizes in UniGene (human)

Cluster size (ESTs) Number of clusters

1

42,800

2

3-4

6,500

6,500

5-8

9-16

17-32

5,400

4,100

3,300

500-1000

2000-4000

2,128

233

8000-16,000 21

16,000-30,000 8

UniGene build 194, 8/06

UniGene: unique genes via ESTs

Conclusion: UniGene is a useful tool to look up information about expressed genes. UniGene displays information about the abundance of a transcript (expressed gene), as well as its regional distribution of expression (e.g. brain vs. liver).

We will discuss UniGene further later

(gene expression).

Page 31

Five ways to access DNA and protein sequences

[1] Entrez Gene with RefSeq

[2] UniGene

[3] European Bioinformatics Institute (EBI) and Ensembl (separate from NCBI)

[4] ExPASy Sequence Retrieval System

(separate from NCBI)

Page 31

Ensembl to access protein and DNA sequences

Try Ensembl at www.ensembl.org for a premier human genome web browser.

We will encounter Ensembl as we study the human genome,

BLAST, and other topics.

click human

enter

RBP4

Five ways to access DNA and protein sequences

[1] Entrez Gene with RefSeq

[2] UniGene

[3] European Bioinformatics Institute (EBI) and Ensembl (separate from NCBI)

[4] ExPASy Sequence Retrieval System

(separate from NCBI)

Page 33

ExPASy to access protein and DNA sequences

ExPASy sequence retrieval system

(ExPASy = Expert Protein Analysis System)

Visit http://www.expasy.ch/

Page 33

Fig. 2.11

Page 33

Example of how to access sequence data:

HIV-1 pol

There are many possible approaches. Begin at the main page of NCBI, and type an Entrez query: hiv-1 pol

Page 34

Searching for HIV-1 pol:

Following the “genome” link yields a manageable three results

Page 34

Example of how to access sequence data:

HIV-1 pol

For the Entrez query: hiv-1 pol there are about 40,000 nucleotide or protein records

(and >100,000 records for a search for “hiv-1”), but these can easily be reduced in two easy steps:

--specify the organism, e.g. hiv-1[organism]

--limit the output to RefSeq!

Page 34

only 1 RefSeq over 100,000 nucleotide entries for HIV-1

Examples of how to access sequence data: histone

8-12-06 query for “histone” protein records

RefSeq entries

# results

21847

7544

RefSeq (limit to human)

NOT deacetylase

1108

697

At this point, select a reasonable candidate (e.g.

histone 2, H4) and follow its link to Entrez Gene.

There, you can confirm you have the right gene/protein.

Access to Biomedical Literature

Page 35

PubMed at NCBI to find literature information

PubMed is the NCBI gateway to MEDLINE.

MEDLINE contains bibliographic citations and author abstracts from over 4,600 journals published in the United States and in 70 foreign countries.

It has >14 million records dating back to 1966.

Page 35

MeSH is the acronym for "Medical Subject Headings."

MeSH is the list of the vocabulary terms used for subject analysis of biomedical literature at NLM.

MeSH vocabulary is used for indexing journal articles for MEDLINE.

The MeSH controlled vocabulary imposes uniformity and consistency to the indexing of biomedical literature.

Page 35

PubMed search strategies

Try the tutorial (“education” on the left sidebar)

Use boolean queries (capitalize AND, OR, NOT) lipocalin AND disease

Try using “limits”

Try “Links” to find Entrez information and external resources

Obtain articles on-line via Welch Medical Library

(and download pdf files): http://www.welch.jhu.edu/

Page 35

1 AND 2 1 2 lipocalin AND disease

(60 results)

1 OR 2 1 2 lipocalin OR disease

(1,650,000 results)

1 NOT 2

8/04

1 2 lipocalin NOT disease

(530 results)

Fig. 2.12

Page 34

Article contents:

“globin” is present

“globin” is absent

Search result:

“globin” is found true positive false positive

( article does not discuss globins )

8/06

“globin” is not found false negative

( article discusses globins ) true negative

Protein sequence motif is a descriptor of a protein family

• Glutamine amidotransferase class I

[PAS]-[LIVMFYT]-[LIVMFY]-G-[LIVMFY]-C-

[LIVMFYN]-G-x-[QEH]- x-[LIVMFA]

[C is the active site residue]

• Glutamine amidotransferase class II

<x(0,11)-C-[GS]-[IV]-[LIVMFYW]-[AG]

[C is the active site residue]

Searching MMDB

Principles of structural alignment

• Dali: http://www.ebi.ac.uk/dali/

Looks for minimal RMSD between C a atoms.

Calculate C a

- C a distance matrices, then identifies the longest alignable segments

• VAST (Vector Alignment Search Tool) http://www.ncbi.nlm.nih.gov/Structure

/ looks for pairs of secondary structure elements ( a

-helices, b

-strands) that have similar orientation and connectivity

Dali alignment of Tyr phosphatase

VAST Structure Neighbors

Structure Summary

BLAST neighbors

VAST neighbors

Cn3D viewer

Cn3D : Displaying Structures

Chloroquine

Structure Neighbors

Use of structural alignments

Chloroquine

NADH

• Protein DataBase

– Protein and NA

3D structures

– Sequence present

– YAFFF

PDB

• HEADER

• COMPND

• SOURCE

• AUTHOR

• DATE

• JRNL

• REMARK

• SECRES

• ATOM COORDINATES

PDB

HEADER LEUCINE ZIPPER 15-JUL-93 1DGC 1DGC 2

COMPND GCN4 LEUCINE ZIPPER COMPLEXED WITH SPECIFIC 1DGC 3

COMPND 2 ATF/CREB SITE DNA 1DGC 4

SOURCE GCN4: YEAST (SACCHAROMYCES CEREVISIAE); DNA: SYNTHETIC 1DGC 5

AUTHOR T.J.RICHMOND 1DGC 6

REVDAT 1 22-JUN-94 1DGC 0 1DGC 7

JRNL AUTH P.KONIG,T.J.RICHMOND 1DGC 8

JRNL TITL THE X-RAY STRUCTURE OF THE GCN4-BZIP BOUND TO 1DGC 9

JRNL TITL 2 ATF/CREB SITE DNA SHOWS THE COMPLEX DEPENDS ON DNA 1DGC 10

JRNL TITL 3 FLEXIBILITY 1DGC 11

JRNL REF J.MOL.BIOL. V. 233 139 1993 1DGC 12

JRNL REFN ASTM JMOBAK UK ISSN 0022-2836 0070 1DGC 13

REMARK 1 1DGC 14

REMARK 2 1DGC 15

REMARK 2 RESOLUTION. 3.0 ANGSTROMS. 1DGC 16

REMARK 3 1DGC 17

REMARK 3 REFINEMENT. 1DGC 18

REMARK 3 PROGRAM X-PLOR 1DGC 19

REMARK 3 AUTHORS BRUNGER 1DGC 20

REMARK 3 R VALUE 0.216 1DGC 21

REMARK 3 RMSD BOND DISTANCES 0.020 ANGSTROMS 1DGC 22

REMARK 3 RMSD BOND ANGLES 3.86 DEGREES 1DGC 23

REMARK 3 1DGC 24

REMARK 3 NUMBER OF REFLECTIONS 3296 1DGC 25

REMARK 3 RESOLUTION RANGE 10.0 - 3.0 ANGSTROMS 1DGC 26

REMARK 3 DATA CUTOFF 3.0 SIGMA(F) 1DGC 27

REMARK 3 PERCENT COMPLETION 98.2 1DGC 28

REMARK 3 1DGC 29

REMARK 3 NUMBER OF PROTEIN ATOMS 456 1DGC 30

REMARK 3 NUMBER OF NUCLEIC ACID ATOMS 386 1DGC 31

REMARK 4 1DGC 32

REMARK 4 GCN4: TRANSCRIPTIONAL ACTIVATOR OF GENES ENCODING FOR AMINO 1DGC 33

REMARK 4 ACID BIOSYNTHETIC ENZYMES. 1DGC 34

REMARK 5 1DGC 35

REMARK 5 AMINO ACIDS NUMBERING (RESIDUE NUMBER) CORRESPONDS TO THE 1DGC 36

REMARK 5 281 AMINO ACIDS OF INTACT GCN4. 1DGC 37

REMARK 6 1DGC 38

REMARK 6 BZIP SEQUENCE 220 - 281 USED FOR CRYSTALLIZATION. 1DGC 39

REMARK 7 1DGC 40

REMARK 7 MODEL FROM AMINO ACIDS 227 - 281 SINCE AMINO ACIDS 220 1DGC 41

REMARK 7 226 ARE NOT WELL ORDERED. 1DGC 42

REMARK 8 1DGC 43

REMARK 8 RESIDUE NUMBERING OF NUCLEOTIDES: 1DGC 44

REMARK 8 5' T G G A G A T G A C G T C A T C T C C 1DGC 45

REMARK 8 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 6 7 8 9 1DGC 46

REMARK 9 1DGC 47

REMARK 9 THE ASYMMETRIC UNIT CONTAINS ONE HALF OF PROTEIN/DNA 1DGC 48

REMARK 9 COMPLEX PER ASYMMETRIC UNIT. 1DGC 49

REMARK 10 1DGC 50

REMARK 10 MOLECULAR DYAD AXIS OF PROTEIN DIMER AND PALINDROMIC HALF 1DGC 51

REMARK 10 SITES OF THE DNA COINCIDES WITH CRYSTALLOGRAPHIC TWO-FOLD 1DGC 52

REMARK 10 AXIS. THE FULL PROTEIN/DNA COMPLEX CAN BE OBTAINED BY 1DGC 53

REMARK 10 APPLYING THE FOLLOWING TRANSFORMATION MATRIX AND 1DGC 54

REMARK 10 TRANSLATION VECTOR TO THE COORDINATES X Y Z: 1DGC 55

REMARK 10 1DGC 56

REMARK 10 0 -1 0 X 117.32 X SYMM 1DGC 57

REMARK 10 -1 0 0 Y + 117.32 = Y SYMM 1DGC 58

REMARK 10 0 0 -1 Z 43.33 Z SYMM 1DGC 59

SEQRES 1 A 62 ILE VAL PRO GLU SER SER ASP PRO ALA ALA LEU LYS ARG 1DGC 60

SEQRES 2 A 62 ALA ARG ASN THR GLU ALA ALA ARG ARG SER ARG ALA ARG 1DGC 61

SEQRES 3 A 62 LYS LEU GLN ARG MET LYS GLN LEU GLU ASP LYS VAL GLU 1DGC 62

SEQRES 4 A 62 GLU LEU LEU SER LYS ASN TYR HIS LEU GLU ASN GLU VAL 1DGC 63

SEQRES 5 A 62 ALA ARG LEU LYS LYS LEU VAL GLY GLU ARG 1DGC 64

SEQRES 1 B 19 T G G A G A T G A C G T C 1DGC 65

SEQRES 2 B 19 A T C T C C 1DGC 66

HELIX 1 A ALA A 228 LYS A 276 1 1DGC 67

CRYST1 58.660 58.660 86.660 90.00 90.00 90.00 P 41 21 2 8 1DGC 68

ORIGX1 1.000000 0.000000 0.000000 0.00000 1DGC 69

ORIGX2 0.000000 1.000000 0.000000 0.00000 1DGC 70

ORIGX3 0.000000 0.000000 1.000000 0.00000 1DGC 71

SCALE1 0.017047 0.000000 0.000000 0.00000 1DGC 72

SCALE2 0.000000 0.017047 0.000000 0.00000 1DGC 73

SCALE3 0.000000 0.000000 0.011539 0.00000 1DGC 74

ATOM 1 N PRO A 227 35.313 108.011 15.140 1.00 38.94 1DGC 75

ATOM 2 CA PRO A 227 34.172 107.658 15.972 1.00 39.82 1DGC 76

ATOM 842 C5 C B 9 57.692 100.286 22.744 1.00 29.82 1DGC 916

ATOM 843 C6 C B 9 58.128 100.193 21.465 1.00 30.63 1DGC 917

TER 844 C B 9 1DGC 918

MASTER 46 0 0 1 0 0 0 6 842 2 0 7 1DGC 919

END 1DGC 920

UniProt

• New protein sequence database that is the result of a merge from SWISS-PROT and PIR. It will be the annotated curated protein sequence database.

• Data in UniProt is primarily derived from coding sequence annotations in EMBL (GenBank/DDBJ) nucleic acid sequence data.

• UniProt is a Flat-File database just like EMBL and

GenBank

• Flat-File format is SwissProt-like, or EMBL-like

Swiss-Prot

Swiss-Prot

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