Natural Product: NPC30846

Natural Product IDNPC30846
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ONKOOMBIYOLKEL-MCDUMTBSSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1629875
PubChem CID NA
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001549] Monoterpenoids
          • [CHEMONTID:0001564] Bicyclic monoterpenoids

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 ONKOOMBIYOLKEL-MCDUMTBSSA-N
Standard InCHI InChI=1S/C38H50O7/c1-22(2)10-13-27-21-37(18-17-25(7)28(39)14-11-23(3)4)33(43)31(32(42)26-12-15-29(40)30(41)20-26)34(44)38(35(37)45,36(27,8)9)19-16-24(5)6/h10-12,15-17,20,27-28,39-41,43H,13-14,18-19,21H2,1-9H3/b25-17+/t27-,28+,37+,38-/m1/s1
SMILES CC(=CC[C@@H]1C[C@@]2(C/C=C(/[C@H](CC=C(C)C)O)C)C(=C(C(=O)[C@@](C1(C)C)(C2=O)CC=C(C)C)C(=O)c1ccc(c(c1)O)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   618.36 Volume:   672.665
?
Van der Waals volume.
Dense:   0.919 LogP:   5.304
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.327
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.124
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   23.0
TPSA:   132.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.065 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.669 Fsp3:   0.5
MCE-18:   101.614
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.995 Fluc inhibitor:   0.111
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.149
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.45
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.576 Promiscuous compounds:   0.238

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.875 MDCK Permeability:   -4.714
Pgp-inhibitor:   0.0 Pgp-substrate:   0.039
PAMPA:   0.998
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.0
20% Bioavailability (F20%):   0.02 30% Bioavailability (F30%):   0.004
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.947
Plasma Protein Binding (PPB):   85.38% Volume Distribution (VD):   0.121
Fu: 18.535%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.985
OATP1B3 inhibitor:   0.115 BCRP inhibitor:   0.002
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.129
CYP2C19-inhibitor:   0.822 CYP2C19-substrate:   0.122
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.011
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.841
CYP3A4-inhibitor:   0.016 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.959
HLM stability:   0.996
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  6.52 Half-life (T1/2):  1.299

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.227
Human Hepatotoxicity (H-HT):  0.927 Drug-induced Liver Injury (DILI):  0.95
AMES Toxicity:  0.512 Rat Oral Acute Toxicity:  0.976
Maximum Recommended Daily Dose:  0.913 Skin Sensitization:  0.998
Carcinogencity:  0.647 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.932
Drug-induced Neurotoxicity:  0.086 Ototoxicity:  0.983
Hematotoxicity:  0.901 Drug-induced Nephrotoxicity:  0.976
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.109
A549 Cytotoxicity:  0.947 Hek293 Cytotoxicity:  0.393
BCF:   1.573
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   5.227
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.221
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.873
?
96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO30436 Rheedia edulis Species Clusiaceae Eukaryota n.a. seed n.a. PMID[21028890]
NPO30436 Rheedia edulis Species Clusiaceae Eukaryota n.a. exocarp n.a. PMID[21028890]
NPO30436 Rheedia edulis Species Clusiaceae Eukaryota seeds and rinds n.a. n.a. PMID[21028890]
NPO4768 Lunaria annua Species Brassicaceae Eukaryota n.a. n.a. n.a. PMID[39202882]
NPO6556 Garcinia intermedia Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4768 Lunaria annua Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3858 Pimpinella magna Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6556 Garcinia intermedia Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO104 Hymenodictyon floribundum Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4768 Lunaria annua Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3858 Pimpinella magna Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10493 Casearia thwaitesii Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1970 Rubus palmatus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 45580.0 nM PMID[21028890]
NPT1 Others Radical scavenging activity n.a. IC50 = 38320.0 nM PMID[21028890]

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 NPC30846 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
0.875 High Similarity NPC149773
0.7778 Intermediate Similarity NPC165191
0.7778 Intermediate Similarity NPC177501
0.7639 Intermediate Similarity NPC114333
0.7639 Intermediate Similarity NPC28592
0.7639 Intermediate Similarity NPC51531
0.7606 Intermediate Similarity NPC46242
0.7606 Intermediate Similarity NPC91887
0.7606 Intermediate Similarity NPC93556
0.7568 Intermediate Similarity NPC471971
0.7568 Intermediate Similarity NPC471972
0.7568 Intermediate Similarity NPC469855
0.7534 Intermediate Similarity NPC473479
0.7534 Intermediate Similarity NPC50615
0.7534 Intermediate Similarity NPC141650
0.75 Intermediate Similarity NPC297797
0.7297 Intermediate Similarity NPC469857
0.7297 Intermediate Similarity NPC245760
0.7222 Intermediate Similarity NPC289358
0.7222 Intermediate Similarity NPC4289
0.7222 Intermediate Similarity NPC42384
0.6812 Remote Similarity NPC259400
0.6812 Remote Similarity NPC130591
0.6812 Remote Similarity NPC234637
0.6795 Remote Similarity NPC469856
0.6709 Remote Similarity NPC471970
0.6667 Remote Similarity NPC469854
0.6667 Remote Similarity NPC5014
0.6538 Remote Similarity NPC482621
0.6538 Remote Similarity NPC23667
0.6538 Remote Similarity NPC157284
0.6538 Remote Similarity NPC294330
0.6463 Remote Similarity NPC482617
0.6463 Remote Similarity NPC482616
0.625 Remote Similarity NPC603871
0.6203 Remote Similarity NPC479148
0.6173 Remote Similarity NPC237441
0.6164 Remote Similarity NPC611064
0.6154 Remote Similarity NPC198803
0.6145 Remote Similarity NPC482618
0.6125 Remote Similarity NPC479151
0.5921 Remote Similarity NPC473779
0.5595 Remote Similarity NPC25736
0.5556 Remote Similarity NPC48949
0.5556 Remote Similarity NPC473527
0.5529 Remote Similarity NPC479146
0.5476 Remote Similarity NPC482619
0.5072 Remote Similarity NPC602123
0.5059 Remote Similarity NPC8493
0.5059 Remote Similarity NPC469375
0.5059 Remote Similarity NPC110855
0.5059 Remote Similarity NPC144247

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC30846 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