Natural Product: NPC318917

Natural Product IDNPC318917
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Caseargrewiin A
IUPAC Name [(1R,3S,5S,6aR,7S,8S,10R,10aR)-1,3-diacetyloxy-10-methoxy-7,8-dimethyl-7-(3-methylidenepent-4-enyl)-1,3,5,6,6a,8,9,10-octahydrobenzo[d][2]benzofuran-5-yl] 3-methylbutanoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL515658
PubChem CID 11330035
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0001757] Colensane and clerodane diterpenoids

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey OSFRHUJJEKKRCH-GTMUTZHESA-N
Standard InCHI InChI=1S/C30H44O8/c1-10-18(4)11-12-29(8)19(5)14-25(34-9)30-23(27(35-20(6)31)38-28(30)36-21(7)32)15-22(16-24(29)30)37-26(33)13-17(2)3/h10,15,17,19,22,24-25,27-28H,1,4,11-14,16H2,2-3,5-9H3/t19-,22+,24+,25+,27+,28-,29-,30-/m0/s1
SMILES C=CC(=C)CC[C@@]1(C)[C@@H](C)C[C@H]([C@]23[C@@H]1C[C@H](OC(=O)CC(C)C)C=C3[C@@H](O[C@@H]2OC(=O)C)OC(=O)C)OC

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota n.a. bark n.a. PMID[15730240]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota bark in the campus of Khon Kaen University, Khon Kaen, Thailand 2001-SEP PMID[15730240]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota Fruits n.a. n.a. PMID[17567069]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota n.a. n.a. n.a. PMID[26516994]
NPO31460 Casearia grewiifolia Species Salicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT91 Cell line KB Homo sapiens IC50 = 8.7 ug.mL-1 PMID[15730240]
NPT639 Cell line NCI-H187 Homo sapiens IC50 = 0.9 ug.mL-1 PMID[15730240]
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 12.5 ug.mL-1 PMID[15730240]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 4.6 ug.mL-1 PMID[15730240]
NPT485 Organism Plasmodium falciparum (isolate K1 / Thailand) Plasmodium falciparum K1 IC50 = 2.9 ug.mL-1 PMID[15730240]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC318917 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.9273 High Similarity NPC171598
0.8947 High Similarity NPC481019
0.875 High Similarity NPC472189
0.8644 High Similarity NPC471366
0.8644 High Similarity NPC476800
0.8644 High Similarity NPC488237
0.8596 High Similarity NPC481018
0.8475 Intermediate Similarity NPC472186
0.8448 Intermediate Similarity NPC481020
0.8333 Intermediate Similarity NPC488649
0.8305 Intermediate Similarity NPC471362
0.8305 Intermediate Similarity NPC471372
0.8197 Intermediate Similarity NPC481017
0.8167 Intermediate Similarity NPC472188
0.7869 Intermediate Similarity NPC488236
0.7812 Intermediate Similarity NPC472187
0.75 Intermediate Similarity NPC473545
0.7097 Intermediate Similarity NPC606965
0.6984 Remote Similarity NPC132395
0.6984 Remote Similarity NPC471364
0.6984 Remote Similarity NPC600724
0.6875 Remote Similarity NPC479936
0.6667 Remote Similarity NPC473204
0.6567 Remote Similarity NPC479940
0.6508 Remote Similarity NPC603601
0.6462 Remote Similarity NPC488651
0.6462 Remote Similarity NPC488648
0.6377 Remote Similarity NPC48548
0.6324 Remote Similarity NPC471365
0.6212 Remote Similarity NPC479934
0.6119 Remote Similarity NPC479935
0.6119 Remote Similarity NPC488235
0.6087 Remote Similarity NPC128795
0.6029 Remote Similarity NPC479943
0.6 Remote Similarity NPC488962
0.5882 Remote Similarity NPC479939
0.5857 Remote Similarity NPC7644
0.5833 Remote Similarity NPC488219
0.5797 Remote Similarity NPC479937
0.5753 Remote Similarity NPC488221
0.5753 Remote Similarity NPC488220
0.5753 Remote Similarity NPC488216
0.5714 Remote Similarity NPC479938
0.5694 Remote Similarity NPC488963
0.5606 Remote Similarity NPC488650
0.5606 Remote Similarity NPC481022
0.5556 Remote Similarity NPC217921
0.5556 Remote Similarity NPC88013
0.5556 Remote Similarity NPC475889
0.5556 Remote Similarity NPC7613
0.5556 Remote Similarity NPC479942
0.5556 Remote Similarity NPC135015
0.5479 Remote Similarity NPC479941
0.5455 Remote Similarity NPC486752
0.5342 Remote Similarity NPC238397
0.5185 Remote Similarity NPC486759
0.5185 Remote Similarity NPC488217
0.5185 Remote Similarity NPC488218
0.5125 Remote Similarity NPC473399
0.5125 Remote Similarity NPC473216
0.5065 Remote Similarity NPC127933
0.5062 Remote Similarity NPC162569
0.5062 Remote Similarity NPC35160

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC318917 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data