Class information for:
Level 1: IMMUNOINFORMATICS//EPITOPE PREDICTION//COMPUTATIONAL VACCINOLOGY

Basic class information
Class id #P Avg. number of
references		 Database coverage
of references
10486 1059 45.7 85%


Bar chart of Publication_year

Last years might be incomplete

Hierarchy of classes
The table includes all classes above and classes immediately below the current class.


Cluster id Level Cluster label #P
0 4 BIOCHEMISTRY & MOLECULAR BIOLOGY//CELL BIOLOGY//ONCOLOGY 4064930
10 3       IMMUNOLOGY//JOURNAL OF IMMUNOLOGY//IMMUNOL 134299
741 2             ANTIGEN PRESENTATION//IMMUNOLOGY//ANTIGEN PROCESSING 12555
10486 1                   IMMUNOINFORMATICS//EPITOPE PREDICTION//COMPUTATIONAL VACCINOLOGY 1059

Terms with highest relevance score


rank Term termType Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 IMMUNOINFORMATICS authKW 618310 4% 46% 47
2 EPITOPE PREDICTION authKW 549584 4% 41% 46
3 COMPUTATIONAL VACCINOLOGY authKW 233542 1% 90% 9
4 BIOL SEQUENCE ANAL address 201361 7% 9% 79
5 T CELL EPITOPE authKW 182781 6% 10% 62
6 HLA A0201 authKW 157678 2% 29% 19
7 MHC BINDING authKW 153768 1% 67% 8
8 MHC BINDING PEPTIDE authKW 148280 1% 86% 6
9 PEPTIDE BINDING PREDICTION authKW 148280 1% 86% 6
10 AUXILIARY ANCHOR authKW 144163 0% 100% 5

Web of Science journal categories


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 Immunology 8061 42% 0% 445
2 Mathematical & Computational Biology 7010 15% 0% 160
3 Biochemical Research Methods 3994 21% 0% 222
4 Biotechnology & Applied Microbiology 1635 18% 0% 187
5 Genetics & Heredity 447 10% 0% 104
6 Biochemistry & Molecular Biology 358 19% 0% 203
7 Computer Science, Interdisciplinary Applications 222 5% 0% 48
8 Medicine, Research & Experimental 205 6% 0% 67
9 Chemistry, Medicinal 66 3% 0% 33
10 Biophysics 60 4% 0% 41

Address terms


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 BIOL SEQUENCE ANAL 201361 7% 9% 79
2 TB HIV 133917 1% 39% 12
3 IMMUNOL INFORMAT 128472 2% 23% 19
4 CANC VACCINE 55557 2% 9% 22
5 SVIMS BIOINFORMAT 51896 0% 60% 3
6 WSI ZBIT 51896 0% 60% 3
7 VACCINE DISCOVERY 49461 2% 9% 20
8 KENT RIDGE DIGITAL S 46127 0% 40% 4
9 SIMULAT BIOL SYST 34590 1% 20% 6
10 BIOINFORMAT BTIS 28833 0% 100% 1

Journals


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class
1 IMMUNOGENETICS 37368 7% 2% 76
2 BMC BIOINFORMATICS 7379 4% 1% 44
3 BIOINFORMATICS 6437 5% 0% 49
4 TISSUE ANTIGENS 4674 3% 1% 27
5 JOURNAL OF IMMUNOLOGICAL METHODS 2471 3% 0% 29
6 HUMAN IMMUNOLOGY 2218 2% 0% 19
7 EXPERT REVIEW OF VACCINES 1469 1% 1% 8
8 JOURNAL OF IMMUNOLOGY 1441 5% 0% 53
9 HUMAN VACCINES & IMMUNOTHERAPEUTICS 1368 1% 1% 9
10 PLOS COMPUTATIONAL BIOLOGY 1198 1% 0% 14

Author Key Words


Rank Term Chi square Shr. of publ. in
class containing
term		 Class's shr. of
term's tot. occurrences		 #P with
term in
class		 LCSH search Wikipedia search
1 IMMUNOINFORMATICS 618310 4% 46% 47 Search IMMUNOINFORMATICS Search IMMUNOINFORMATICS
2 EPITOPE PREDICTION 549584 4% 41% 46 Search EPITOPE+PREDICTION Search EPITOPE+PREDICTION
3 COMPUTATIONAL VACCINOLOGY 233542 1% 90% 9 Search COMPUTATIONAL+VACCINOLOGY Search COMPUTATIONAL+VACCINOLOGY
4 T CELL EPITOPE 182781 6% 10% 62 Search T+CELL+EPITOPE Search T+CELL+EPITOPE
5 HLA A0201 157678 2% 29% 19 Search HLA+A0201 Search HLA+A0201
6 MHC BINDING 153768 1% 67% 8 Search MHC+BINDING Search MHC+BINDING
7 MHC BINDING PEPTIDE 148280 1% 86% 6 Search MHC+BINDING+PEPTIDE Search MHC+BINDING+PEPTIDE
8 PEPTIDE BINDING PREDICTION 148280 1% 86% 6 Search PEPTIDE+BINDING+PREDICTION Search PEPTIDE+BINDING+PREDICTION
9 AUXILIARY ANCHOR 144163 0% 100% 5 Search AUXILIARY+ANCHOR Search AUXILIARY+ANCHOR
10 T CELL EPITOPE PREDICTION 141939 1% 62% 8 Search T+CELL+EPITOPE+PREDICTION Search T+CELL+EPITOPE+PREDICTION

Core articles
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c:
(1) Number of references referring to publications in the class.
(2) Share of total number of active references referring to publications in the class.
(3) Age of the article. New articles get higher score than old articles.
(4) Citation rate, normalized to year.


Rank Reference # ref.
in cl.		 Shr. of ref. in
cl.		 Citations
1 TOUSSAINT, NC , KOHLBACHER, O , (2009) TOWARDS IN SILICO DESIGN OF EPITOPE-BASED VACCINES.EXPERT OPINION ON DRUG DISCOVERY. VOL. 4. ISSUE 10. P. 1047-1060 88 71% 4
2 LAFUENTE, EM , RECHE, PA , (2009) PREDICTION OF MHC-PEPTIDE BINDING: A SYSTEMATIC AND COMPREHENSIVE OVERVIEW.CURRENT PHARMACEUTICAL DESIGN. VOL. 15. ISSUE 28. P. 3209 -3220 70 67% 47
3 NIELSEN, M , LUND, O , BUUS, S , LUNDEGAARD, C , (2010) MHC CLASS II EPITOPE PREDICTIVE ALGORITHMS.IMMUNOLOGY. VOL. 130. ISSUE 3. P. 319 -328 63 70% 53
4 BACKERT, L , KOHLBACHER, O , (2015) IMMUNOINFORMATICS AND EPITOPE PREDICTION IN THE AGE OF GENOMIC MEDICINE.GENOME MEDICINE. VOL. 7. ISSUE . P. - 51 70% 9
5 TONG, JC , TAN, TW , RANGANATHAN, S , (2007) METHODS AND PROTOCOLS FOR PREDICTION OF IMMUNOGENIC EPITOPES.BRIEFINGS IN BIOINFORMATICS. VOL. 8. ISSUE 2. P. 96 -108 70 64% 54
6 YANG, XD , YU, XL , (2009) AN INTRODUCTION TO EPITOPE PREDICTION METHODS AND SOFTWARE.REVIEWS IN MEDICAL VIROLOGY. VOL. 19. ISSUE 2. P. 77 -96 69 59% 54
7 ZHANG, LM , UDAKA, K , MAMITSUKA, H , ZHU, SF , (2012) TOWARD MORE ACCURATE PAN-SPECIFIC MHC-PEPTIDE BINDING PREDICTION: A REVIEW OF CURRENT METHODS AND TOOLS.BRIEFINGS IN BIOINFORMATICS. VOL. 13. ISSUE 3. P. 350-364 46 79% 33
8 LUNDEGAARD, C , LUND, O , BUUS, S , NIELSEN, M , (2010) MAJOR HISTOCOMPATIBILITY COMPLEX CLASS I BINDING PREDICTIONS AS A TOOL IN EPITOPE DISCOVERY.IMMUNOLOGY. VOL. 130. ISSUE 3. P. 309 -318 60 65% 37
9 LUNDEGAARD, C , LUND, O , NIELSEN, M , (2011) PREDICTION OF EPITOPES USING NEURAL NETWORK BASED METHODS.JOURNAL OF IMMUNOLOGICAL METHODS. VOL. 374. ISSUE 1-2. P. 26-34 44 85% 32
10 SIEKER, F , MAY, A , ZACHARIAS, M , (2009) PREDICTING AFFINITY AND SPECIFICITY OF ANTIGENIC PEPTIDE BINDING TO MAJOR HISTOCOMPATIBILITY CLASS I MOLECULES.CURRENT PROTEIN & PEPTIDE SCIENCE. VOL. 10. ISSUE 3. P. 286-296 53 73% 15

Classes with closest relation at Level 1


Rank Class id link
1 2264 TAPASIN//TRANSPORTER ASSOCIATED WITH ANTIGEN PROCESSING//PEPTIDE LOADING COMPLEX
2 13833 PROT CRYSTALLOG UNIT//T CELL RECEPTOR//PEPTIDE MHC
3 28653 IN SITU TETRAMER STAINING//CONDITIONAL LIGANDS//EX VIVO PHENOTYPING
4 37470 SEQUENCE UNIQUENESS//BIOCHEM MOL BIOL ERNESTO QUAGLIARIELLO//SIMILARITY LEVEL
5 13376 B CELL EPITOPE PREDICTION//PREDETERMINED SPECIFICITY//SYNTHETIC ANTIGENIC SITE
6 1456 PARTNERS AIDS//DORIS DUKE MED//HIV PATHOGENESIS PROGRAMME
7 1366 INVARIANT CHAIN//HLA DM//ANTIGEN PROCESSING
8 24888 CANC VACCINE DEV//INNOVAT CANC THER Y//PERSONALIZED PEPTIDE VACCINE
9 18799 THIOL REDUCTASE ACTIVITY//CROSS PRESENTATION//INTERFERON GAMMA INDUCIBLE LYSOSOMAL THIOL REDUCTASE
10 1375 CANCER TESTIS ANTIGEN//NY ESO 1//MAGE

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