Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
6856 | 1436 | 50.5 | 82% |
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 |
90 | 3 | MATHEMATICAL & COMPUTATIONAL BIOLOGY//BIOINFORMATICS//BMC BIOINFORMATICS | 77178 |
868 | 2 | BMC BIOINFORMATICS//MATHEMATICAL & COMPUTATIONAL BIOLOGY//BIOINFORMATICS | 11572 |
6856 | 1 | NETWORK PHARMACOLOGY//DRUG REPOSITIONING//SYSTEMS PHARMACOLOGY | 1436 |
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 | NETWORK PHARMACOLOGY | authKW | 541597 | 3% | 58% | 44 |
2 | DRUG REPOSITIONING | authKW | 347173 | 4% | 31% | 53 |
3 | SYSTEMS PHARMACOLOGY | authKW | 263051 | 2% | 35% | 35 |
4 | POLYPHARMACOLOGY | authKW | 245083 | 3% | 27% | 42 |
5 | DRUG TARGET INTERACTION | authKW | 228668 | 2% | 49% | 22 |
6 | SYST COHORT | address | 114810 | 1% | 60% | 9 |
7 | DRUG REPURPOSING | authKW | 101179 | 2% | 18% | 26 |
8 | DRUG TARGET INTERACTION PREDICTION | authKW | 85050 | 0% | 100% | 4 |
9 | COMPUTATIONAL PHARMACOLOGY | authKW | 85046 | 0% | 67% | 6 |
10 | DRUG TARGET NETWORK | authKW | 85046 | 0% | 67% | 6 |
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 | Mathematical & Computational Biology | 21512 | 23% | 0% | 324 |
2 | Biochemical Research Methods | 5043 | 20% | 0% | 291 |
3 | Chemistry, Medicinal | 2967 | 14% | 0% | 201 |
4 | Biotechnology & Applied Microbiology | 2629 | 19% | 0% | 274 |
5 | Computer Science, Interdisciplinary Applications | 2034 | 11% | 0% | 153 |
6 | Integrative & Complementary Medicine | 1886 | 5% | 0% | 65 |
7 | Pharmacology & Pharmacy | 1590 | 21% | 0% | 305 |
8 | Multidisciplinary Sciences | 784 | 4% | 0% | 60 |
9 | Computer Science, Information Systems | 713 | 6% | 0% | 91 |
10 | Biochemistry & Molecular Biology | 685 | 22% | 0% | 312 |
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 | SYST COHORT | 114810 | 1% | 60% | 9 |
2 | CHEMOGENOM | 71750 | 1% | 38% | 9 |
3 | SYST COHORTHIGASHI KU | 66442 | 0% | 63% | 5 |
4 | INFOCLOUD GRP | 63788 | 0% | 100% | 3 |
5 | MULTISCALE MED SCI | 63782 | 0% | 50% | 6 |
6 | NCI MODELING CANC DEV | 53151 | 0% | 50% | 5 |
7 | BIOINFORMAT DRUG DESIGN GRP | 45975 | 1% | 14% | 15 |
8 | TRANSLAT BIOINFORMAT CANC SYST BIOL | 44291 | 0% | 42% | 5 |
9 | EBIOL GRP | 42525 | 0% | 100% | 2 |
10 | MOL LIB INFORMAT | 42525 | 0% | 100% | 2 |
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 | JOURNAL OF CHEMINFORMATICS | 34165 | 2% | 7% | 24 |
2 | DRUG DISCOVERY TODAY | 21599 | 3% | 2% | 50 |
3 | MOLECULAR INFORMATICS | 20917 | 2% | 4% | 22 |
4 | JOURNAL OF CHEMICAL INFORMATION AND MODELING | 19156 | 4% | 2% | 53 |
5 | BIOINFORMATICS | 15367 | 6% | 1% | 88 |
6 | MOLECULAR BIOSYSTEMS | 13167 | 3% | 2% | 41 |
7 | NATURE REVIEWS DRUG DISCOVERY | 11972 | 2% | 2% | 23 |
8 | BMC SYSTEMS BIOLOGY | 10351 | 2% | 2% | 28 |
9 | BMC BIOINFORMATICS | 9784 | 4% | 1% | 59 |
10 | BRIEFINGS IN BIOINFORMATICS | 7801 | 1% | 2% | 16 |
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 | NETWORK PHARMACOLOGY | 541597 | 3% | 58% | 44 | Search NETWORK+PHARMACOLOGY | Search NETWORK+PHARMACOLOGY |
2 | DRUG REPOSITIONING | 347173 | 4% | 31% | 53 | Search DRUG+REPOSITIONING | Search DRUG+REPOSITIONING |
3 | SYSTEMS PHARMACOLOGY | 263051 | 2% | 35% | 35 | Search SYSTEMS+PHARMACOLOGY | Search SYSTEMS+PHARMACOLOGY |
4 | POLYPHARMACOLOGY | 245083 | 3% | 27% | 42 | Search POLYPHARMACOLOGY | Search POLYPHARMACOLOGY |
5 | DRUG TARGET INTERACTION | 228668 | 2% | 49% | 22 | Search DRUG+TARGET+INTERACTION | Search DRUG+TARGET+INTERACTION |
6 | DRUG REPURPOSING | 101179 | 2% | 18% | 26 | Search DRUG+REPURPOSING | Search DRUG+REPURPOSING |
7 | DRUG TARGET INTERACTION PREDICTION | 85050 | 0% | 100% | 4 | Search DRUG+TARGET+INTERACTION+PREDICTION | Search DRUG+TARGET+INTERACTION+PREDICTION |
8 | COMPUTATIONAL PHARMACOLOGY | 85046 | 0% | 67% | 6 | Search COMPUTATIONAL+PHARMACOLOGY | Search COMPUTATIONAL+PHARMACOLOGY |
9 | DRUG TARGET NETWORK | 85046 | 0% | 67% | 6 | Search DRUG+TARGET+NETWORK | Search DRUG+TARGET+NETWORK |
10 | CHEMOGENOMICS | 83631 | 2% | 18% | 22 | Search CHEMOGENOMICS | Search CHEMOGENOMICS |
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 | LAVECCHIA, A , CERCHIA, C , (2016) IN SILICO METHODS TO ADDRESS POLYPHARMACOLOGY: CURRENT STATUS, APPLICATIONS AND FUTURE PERSPECTIVES.DRUG DISCOVERY TODAY. VOL. 21. ISSUE 2. P. 288 -298 | 46 | 54% | 6 |
2 | TANG, J , AITTOKALLIO, T , (2014) NETWORK PHARMACOLOGY STRATEGIES TOWARD MULTI-TARGET ANTICANCER THERAPIES: FROM COMPUTATIONAL MODELS TO EXPERIMENTAL DESIGN PRINCIPLES.CURRENT PHARMACEUTICAL DESIGN. VOL. 20. ISSUE 1. P. 23 -36 | 68 | 43% | 15 |
3 | CERETO-MASSAGUE, A , OJEDA, MJ , VALLS, C , MULERO, M , PUJADAS, G , GARCIA-VALLVE, S , (2015) TOOLS FOR IN SILICO TARGET FISHING.METHODS. VOL. 71. ISSUE . P. 98 -103 | 41 | 65% | 12 |
4 | PEREZ-NUENO, VI , (2015) USING QUANTITATIVE SYSTEMS PHARMACOLOGY FOR NOVEL DRUG DISCOVERY.EXPERT OPINION ON DRUG DISCOVERY. VOL. 10. ISSUE 12. P. 1315 -1331 | 56 | 55% | 1 |
5 | IVANOV, SM , LAGUNIN, AA , POROIKOV, VV , (2016) IN SILICO ASSESSMENT OF ADVERSE DRUG REACTIONS AND ASSOCIATED MECHANISMS.DRUG DISCOVERY TODAY. VOL. 21. ISSUE 1. P. 58 -71 | 48 | 49% | 4 |
6 | LI, J , ZHENG, S , CHEN, B , BUTTE, AJ , SWAMIDASS, SJ , LU, ZY , (2016) A SURVEY OF CURRENT TRENDS IN COMPUTATIONAL DRUG REPOSITIONING.BRIEFINGS IN BIOINFORMATICS. VOL. 17. ISSUE 1. P. 2 -12 | 36 | 46% | 14 |
7 | LE, DH , LE, L , (2016) SYSTEMS PHARMACOLOGY: A UNIFIED FRAMEWORK FOR PREDICTION OF DRUG-TARGET INTERACTIONS.CURRENT PHARMACEUTICAL DESIGN. VOL. 22. ISSUE 23. P. 3569 -3575 | 50 | 56% | 1 |
8 | WU, ZK , WANG, Y , CHEN, LN , (2013) NETWORK-BASED DRUG REPOSITIONING.MOLECULAR BIOSYSTEMS. VOL. 9. ISSUE 6. P. 1268 -1281 | 47 | 57% | 35 |
9 | CHEN, X , YAN, CC , ZHANG, XT , ZHANG, X , DAI, F , YIN, J , ZHANG, YD , (2016) DRUG-TARGET INTERACTION PREDICTION: DATABASES, WEB SERVERS AND COMPUTATIONAL MODELS.BRIEFINGS IN BIOINFORMATICS. VOL. 17. ISSUE 4. P. 696 -712 | 45 | 56% | 2 |
10 | MOUSAVIAN, Z , MASOUDI-NEJAD, A , (2014) DRUG-TARGET INTERACTION PREDICTION VIA CHEMOGENOMIC SPACE: LEARNING-BASED METHODS.EXPERT OPINION ON DRUG METABOLISM & TOXICOLOGY. VOL. 10. ISSUE 9. P. 1273 -1287 | 41 | 69% | 6 |
Classes with closest relation at Level 1 |