Natural Product: NPC324104

Natural Product IDNPC324104
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VJELPTFOTXKQJX-GFMSAKSFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0003494] Rhamnofolane and daphnane 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 VJELPTFOTXKQJX-GFMSAKSFSA-N
Standard InCHI InChI=1S/C32H40O10/c1-7-8-9-10-11-12-13-14-29-40-26-22-25-28(16-33,39-25)27(36)30(37)21(15-18(4)23(30)35)32(22,42-29)19(5)24(38-20(6)34)31(26,41-29)17(2)3/h9-15,19,21-22,24-27,33,36-37H,2,7-8,16H2,1,3-6H3/b10-9-,12-11+,14-13+/t19-,21-,22+,24-,25+,26-,27-,28+,29?,30-,31+,32+/m1/s1
SMILES CCC/C=CC=CC=CC12O[C@@H]3[C@@H]4[C@H]5[C@@](CO)([C@H]([C@]6([C@@H](C=C(C)C6=O)[C@]4([C@H](C)[C@H]([C@]3(C(=C)C)O1)OC(=O)C)O2)O)O)O5

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   584.26 Volume:   580.136
?
Van der Waals volume.
Dense:   1.007 LogP:   3.244
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.319
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.677
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   30.0
TPSA:   144.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.168 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.993 Fsp3:   0.625
MCE-18:   108.308
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.524 Fluc inhibitor:   0.118
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.02
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.011
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.312 Promiscuous compounds:   0.275

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.253 MDCK Permeability:   -4.866
Pgp-inhibitor:   0.027 Pgp-substrate:   0.01
PAMPA:   0.202
?
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):   0.006
20% Bioavailability (F20%):   0.172 30% Bioavailability (F30%):   0.972
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.051 MRP1:   0.928
Plasma Protein Binding (PPB):   75.127% Volume Distribution (VD):   -0.052
Fu: 26.449%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.994 BCRP inhibitor:   0.022
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.007 CYP2C9-substrate:   0.011
CYP2D6-inhibitor:   0.02 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.005
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.864
HLM stability:   0.65
?
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):  6.007 Half-life (T1/2):  1.127

ADMET: Toxicity

hERG Blockers:  0.035 hERG Blockers (10um):  0.183
Human Hepatotoxicity (H-HT):  0.515 Drug-induced Liver Injury (DILI):  0.112
AMES Toxicity:  0.981 Rat Oral Acute Toxicity:  0.52
Maximum Recommended Daily Dose:  0.67 Skin Sensitization:  1.0
Carcinogencity:  0.295 Eye Corrosion:  0.002
Eye Irritation:  0.189 Respiratory Toxicity:  0.518
Drug-induced Neurotoxicity:  0.155 Ototoxicity:  0.885
Hematotoxicity:  0.545 Drug-induced Nephrotoxicity:  0.367
Genotoxicity:  0.051 RPMI-8226 Immunitoxicity:  0.252
A549 Cytotoxicity:  0.755 Hek293 Cytotoxicity:  0.781
BCF:   0.608
?
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:   3.509
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.406
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.602
?
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
NPO30492 Pimelea elongata Species Thymelaeaceae Eukaryota n.a. foliage leaf n.a. PMID[21049973]
NPO30492 Pimelea elongata Species Thymelaeaceae Eukaryota n.a. root n.a. PMID[21049973]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. flower n.a. PMID[21916433]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota flower buds n.a. n.a. PMID[23558238]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[27228307]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota Roots n.a. n.a. PMID[31150241]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[31860304]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[32223193]
NPO30492 Pimelea elongata Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9756 Daphne genkwa Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9756 Daphne genkwa Species Thymelaeaceae 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
NPT323 Cell line SW-620 Homo sapiens IC50 > 10000.0 nM PMID[32223193]
NPT2170 Cell line RKO Homo sapiens IC50 > 10000.0 nM PMID[32223193]
NPT114 Cell line LoVo Homo sapiens IC50 > 10000.0 nM PMID[32223193]

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 NPC324104 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
1.0 High Similarity NPC473548
0.9167 High Similarity NPC223356
0.9167 High Similarity NPC298697
0.9167 High Similarity NPC475500
0.9167 High Similarity NPC100017
0.9167 High Similarity NPC481742
0.9041 High Similarity NPC182266
0.9041 High Similarity NPC475154
0.9041 High Similarity NPC485700
0.8533 High Similarity NPC75831
0.8533 High Similarity NPC471137
0.8421 Intermediate Similarity NPC471136
0.8421 Intermediate Similarity NPC116727
0.8421 Intermediate Similarity NPC39509
0.8312 Intermediate Similarity NPC481744
0.8312 Intermediate Similarity NPC481743
0.8267 Intermediate Similarity NPC180902
0.7765 Intermediate Similarity NPC130886
0.7619 Intermediate Similarity NPC164150
0.7619 Intermediate Similarity NPC481754
0.7586 Intermediate Similarity NPC481774
0.7403 Intermediate Similarity NPC475606
0.7191 Intermediate Similarity NPC101786
0.7089 Intermediate Similarity NPC251564
0.7089 Intermediate Similarity NPC477189
0.7045 Intermediate Similarity NPC92598
0.7045 Intermediate Similarity NPC43304
0.7045 Intermediate Similarity NPC481753
0.7045 Intermediate Similarity NPC477188
0.7045 Intermediate Similarity NPC477190
0.7033 Intermediate Similarity NPC481773
0.7 Intermediate Similarity NPC474508
0.7 Intermediate Similarity NPC473485
0.7 Intermediate Similarity NPC171411
0.7 Intermediate Similarity NPC485701
0.6947 Remote Similarity NPC191992
0.679 Remote Similarity NPC475314
0.679 Remote Similarity NPC102997
0.6707 Remote Similarity NPC485693
0.6593 Remote Similarity NPC486153
0.6465 Remote Similarity NPC69240
0.622 Remote Similarity NPC162495
0.5851 Remote Similarity NPC68282
0.573 Remote Similarity NPC473838
0.5579 Remote Similarity NPC156682
0.5579 Remote Similarity NPC49297
0.5361 Remote Similarity NPC486154
0.5361 Remote Similarity NPC481745
0.5269 Remote Similarity NPC605479
0.5176 Remote Similarity NPC475273
0.5176 Remote Similarity NPC168849
0.5176 Remote Similarity NPC217901
0.5176 Remote Similarity NPC611341
0.5169 Remote Similarity NPC181924

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC324104 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