Class information for: |
Basic class information |
| Class id | #P | Avg. number of references |
Database coverage of references |
|---|---|---|---|
| 19401 | 507 | 29.3 | 54% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
| Cluster id | Level | Cluster label | #P |
|---|---|---|---|
| 5 | 4 | CHEMISTRY, ORGANIC//CHEMISTRY, INORGANIC & NUCLEAR//CHEMISTRY, MULTIDISCIPLINARY | 1745167 |
| 430 | 3 | JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES//JOURNAL OF CHEMICAL INFORMATION AND MODELING//QSAR | 27693 |
| 1068 | 2 | WIENER INDEX//QSAR//MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY | 9972 |
| 19401 | 1 | PRINCIPAL PROPERTIES//QSAM//QUANTITATIVE SEQUENCE ACTIVITY MODEL | 507 |
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 | PRINCIPAL PROPERTIES | authKW | 963623 | 3% | 100% | 16 |
| 2 | QSAM | authKW | 361359 | 1% | 100% | 6 |
| 3 | QUANTITATIVE SEQUENCE ACTIVITY MODEL | authKW | 361359 | 1% | 100% | 6 |
| 4 | PROTEOCHEMOMETRICS | authKW | 333549 | 2% | 46% | 12 |
| 5 | MULTIVARIATE DESIGN | authKW | 303630 | 2% | 46% | 11 |
| 6 | MULTIVARIATE CHARACTERIZATION | authKW | 226726 | 2% | 47% | 8 |
| 7 | AUGMENTED SIMPLEX DESIGN | authKW | 180679 | 1% | 100% | 3 |
| 8 | HETEROCYCLIC AROMATICITY | authKW | 180679 | 1% | 100% | 3 |
| 9 | PROBIT DOSE RESPONSE | authKW | 180679 | 1% | 100% | 3 |
| 10 | QUANTITATIVE SEQUENCE ACTIVITY MODELING QSAM | authKW | 180679 | 1% | 100% | 3 |
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 | Chemistry, Medicinal | 1854 | 18% | 0% | 93 |
| 2 | Automation & Control Systems | 1807 | 13% | 0% | 64 |
| 3 | Mathematics, Interdisciplinary Applications | 1537 | 13% | 0% | 65 |
| 4 | Statistics & Probability | 1320 | 13% | 0% | 65 |
| 5 | Computer Science, Artificial Intelligence | 1213 | 13% | 0% | 67 |
| 6 | Chemistry, Analytical | 829 | 18% | 0% | 93 |
| 7 | Instruments & Instrumentation | 765 | 13% | 0% | 65 |
| 8 | Chemistry, Multidisciplinary | 597 | 24% | 0% | 122 |
| 9 | Computer Science, Interdisciplinary Applications | 484 | 9% | 0% | 45 |
| 10 | Pharmacology & Pharmacy | 242 | 15% | 0% | 76 |
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 | STATE CHEMOBIOSENSORS CHEMOBIOMETR MOST | 120453 | 0% | 100% | 2 |
| 2 | STRUCT PROPERTY OPTIMIZAT | 120453 | 0% | 100% | 2 |
| 3 | TECHNOL LIFE SCI BIOTECHNOL | 120453 | 0% | 100% | 2 |
| 4 | UMR 3825 | 120449 | 1% | 50% | 4 |
| 5 | BIOINFORMAT SIMULATC MOL | 60226 | 0% | 100% | 1 |
| 6 | BIOMED ENGN CHONGQING | 60226 | 0% | 100% | 1 |
| 7 | CHEMOBIOMED SCI ENGN CHONGQING MUNICIPA | 60226 | 0% | 100% | 1 |
| 8 | CHIM MOL FORMULAT EA 4479 | 60226 | 0% | 100% | 1 |
| 9 | CHIM ORGAN PHYS CNRS URA 463 | 60226 | 0% | 100% | 1 |
| 10 | DESS OPEX | 60226 | 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 | QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS | 124782 | 6% | 6% | 32 |
| 2 | JOURNAL OF CHEMOMETRICS | 34562 | 6% | 2% | 28 |
| 3 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 24567 | 7% | 1% | 36 |
| 4 | ACTA CHEMICA SCANDINAVICA SERIES B-ORGANIC CHEMISTRY AND BIOCHEMISTRY | 16280 | 4% | 2% | 18 |
| 5 | ACTA CHEMICA SCANDINAVICA | 6763 | 3% | 1% | 15 |
| 6 | ANALES DE QUIMICA SERIE C-QUIMICA ORGANICA Y BIOQUIMICA | 3386 | 1% | 1% | 6 |
| 7 | JOURNAL OF CHEMINFORMATICS | 2684 | 1% | 1% | 4 |
| 8 | JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN | 1657 | 1% | 0% | 7 |
| 9 | KEMISK TIDSKRIFT | 1467 | 0% | 2% | 1 |
| 10 | JOURNAL OF CHEMICAL EDUCATION | 1183 | 3% | 0% | 16 |
Author Key Words |
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 | WANG, LF , DAI, ZJ , ZHANG, HY , BAI, LY , YUAN, ZM , (2014) QUANTITATIVE SEQUENCE- ACTIVITY MODEL ANALYSIS OF OLIGOPEPTIDES COUPLING AN IMPROVED HIGH- DIMENSION FEATURE SELECTION METHOD WITH SUPPORT VECTOR REGRESSION.CHEMICAL BIOLOGY & DRUG DESIGN. VOL. 83. ISSUE 4. P. 379-391 | 22 | 63% | 1 |
| 2 | VAN WESTEN, GJP , SWIER, RF , WEGNER, JK , IJZERMAN, AP , VAN VLIJMEN, HWT , BENDER, A , (2013) BENCHMARKING OF PROTEIN DESCRIPTOR SETS IN PROTEOCHEMOMETRIC MODELING (PART 1): COMPARATIVE STUDY OF 13 AMINO ACID DESCRIPTOR SETS.JOURNAL OF CHEMINFORMATICS. VOL. 5. ISSUE . P. - | 23 | 61% | 4 |
| 3 | YIN, JJ , DIAO, YB , WEN, ZN , WANG, ZM , LI, ML , (2010) STUDYING PEPTIDES BIOLOGICAL ACTIVITIES BASED ON MULTIDIMENSIONAL DESCRIPTORS (E) USING SUPPORT VECTOR REGRESSION.INTERNATIONAL JOURNAL OF PEPTIDE RESEARCH AND THERAPEUTICS. VOL. 16. ISSUE 2. P. 111-121 | 20 | 71% | 5 |
| 4 | SHANG, ZC , ZHOU, P , TIAN, FF , WU, YQ , LI, ZL , (2008) QUANTITATIVE SEQUENCE-ACTIVITY MODEL (QSAM): APPLYING QSAR STRATEGY TO MODEL AND PREDICT BIOACTIVITY AND FUNCTION OF PEPTIDES, PROTEINS AND NUCLEIC ACIDS.CURRENT COMPUTER-AIDED DRUG DESIGN. VOL. 4. ISSUE 4. P. 311 -321 | 44 | 33% | 19 |
| 5 | TONG, J , CHE, T , LI, Y , WANG, P , XU, X , CHEN, Y , (2011) A DESCRIPTOR OF AMINO ACIDS: SVRG AND ITS APPLICATION TO PEPTIDE QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP.SAR AND QSAR IN ENVIRONMENTAL RESEARCH. VOL. 22. ISSUE 5-6. P. 611-620 | 17 | 77% | 10 |
| 6 | QIAN, Y , LIANG, YN , LIU, WQ , LIANG, GZ , (2017) COMPREHENSIVE COMPARISON OF TWENTY STRUCTURAL CHARACTERIZATION SCALES APPLIED AS QSAM OF ANTIMICROBIAL DODECAPEPTIDES DERIVED FROM BAC2A AGAINST P-AERUGINOSA.JOURNAL OF MOLECULAR GRAPHICS & MODELLING. VOL. 71. ISSUE . P. 88 -95 | 23 | 50% | 0 |
| 7 | WANG, XY , WANG, J , LIN, Y , DING, Y , WANG, YQ , CHENG, XM , LIN, ZH , (2011) QSAR STUDY ON ANGIOTENSIN-CONVERTING ENZYME INHIBITOR OLIGOPEPTIDES BASED ON A NOVEL SET OF SEQUENCE INFORMATION DESCRIPTORS.JOURNAL OF MOLECULAR MODELING. VOL. 17. ISSUE 7. P. 1599-1606 | 17 | 71% | 13 |
| 8 | MEI, H , ZHOU, Y , SUN, LL , LI, ZL , (2004) A NEW DESCRIPTOR OF AMINO ACIDS AND ITS APPLICATION IN PEPTIDE QSAR.ACTA PHYSICO-CHIMICA SINICA. VOL. 20. ISSUE 8. P. 821 -825 | 17 | 81% | 29 |
| 9 | SANDBERG, M , ERIKSSON, L , JONSSON, J , SJOSTROM, M , WOLD, S , (1998) NEW CHEMICAL DESCRIPTORS RELEVANT FOR THE DESIGN OF BIOLOGICALLY ACTIVE PEPTIDES. A MULTIVARIATE CHARACTERIZATION OF 87 AMINO ACIDS.JOURNAL OF MEDICINAL CHEMISTRY. VOL. 41. ISSUE 14. P. 2481-2491 | 19 | 66% | 269 |
| 10 | TONG, JB , ZHANG, SW , (2007) A NEW 3D-DESCRIPTOR OF AMINO ACIDS AND ITS APPLICATION IN QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP OF PEPTIDE DRUGS.ACTA PHYSICO-CHIMICA SINICA. VOL. 23. ISSUE 1. P. 37 -43 | 17 | 74% | 6 |
Classes with closest relation at Level 1 |