Natural Product: NPC192546

Natural Product IDNPC192546
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XWVVPZWKCNXREE-VSQYQUPVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14036559
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000129] Alcohols and polyols
          • [CHEMONTID:0001292] Cyclic alcohols and derivatives

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 XWVVPZWKCNXREE-VSQYQUPVSA-N
Standard InCHI InChI=1S/C29H44O3/c1-18-9-14-29(24(31)32)16-15-27(5)19(20(29)17-18)7-8-22-26(4)12-11-23(30)25(2,3)21(26)10-13-28(22,27)6/h7,20-23,30H,1,8-17H2,2-6H3,(H,31,32)/t20-,21-,22+,23-,26-,27+,28+,29-/m0/s1
SMILES C=C1CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@@H]2C1)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   440.33 Volume:   485.819
?
Van der Waals volume.
Dense:   0.906 LogP:   3.767
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.301
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.95
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   28.0
TPSA:   57.53
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.443 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.771 Fsp3:   0.828
MCE-18:   100.528
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.817 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.021
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.432 Promiscuous compounds:   0.109

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.512 MDCK Permeability:   -5.096
Pgp-inhibitor:   0.001 Pgp-substrate:   0.076
PAMPA:   0.995
?
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):   0.001
20% Bioavailability (F20%):   0.893 30% Bioavailability (F30%):   0.622
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.969 MRP1:   0.988
Plasma Protein Binding (PPB):   97.088% Volume Distribution (VD):   -0.513
Fu: 3.224%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.697 BCRP inhibitor:   0.249
BSEP inhibitor:   0.682

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.022 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.101 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.056
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.003
HLM stability:   0.006
?
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):  5.93 Half-life (T1/2):  0.63

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.06
Human Hepatotoxicity (H-HT):  0.64 Drug-induced Liver Injury (DILI):  0.719
AMES Toxicity:  0.34 Rat Oral Acute Toxicity:  0.443
Maximum Recommended Daily Dose:  0.48 Skin Sensitization:  0.949
Carcinogencity:  0.902 Eye Corrosion:  0.058
Eye Irritation:  0.8 Respiratory Toxicity:  0.927
Drug-induced Neurotoxicity:  0.13 Ototoxicity:  0.574
Hematotoxicity:  0.431 Drug-induced Nephrotoxicity:  0.84
Genotoxicity:  0.731 RPMI-8226 Immunitoxicity:  0.033
A549 Cytotoxicity:  0.207 Hek293 Cytotoxicity:  0.158
BCF:   1.234
?
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:   3.834
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.346
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.745
?
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
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. root n.a. PMID[21954959]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota roots Whitessence Srl, Viterbo, Italy 2005-OCT PMID[21954959]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. seed n.a. PMID[23497864]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds DingXi, GanSu, China early autumn (from August to the beginning of September PMID[32545196]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds LanZhou, GanSu, China early autumn (from August to the beginning of September PMID[32545196]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 90 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 80 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 70 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 60 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 50 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 40 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 30 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 20 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Seeds Yangling, Shaanxi, China 10 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China Maturation PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 90 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 80 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 70 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 60 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 50 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 40 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 30 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 20 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota Fruits Yangling, Shaanxi, China 10 days after pollination PMID[33131958]
NPO15265 Paeonia rockii Species Paeoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15265 Paeonia rockii Species Paeoniaceae 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

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 NPC192546 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
0.8594 High Similarity NPC130520
0.7812 Intermediate Similarity NPC480946
0.7812 Intermediate Similarity NPC130577
0.7812 Intermediate Similarity NPC142415
0.7812 Intermediate Similarity NPC102683
0.7692 Intermediate Similarity NPC182797
0.7692 Intermediate Similarity NPC52169
0.7692 Intermediate Similarity NPC488562
0.7015 Intermediate Similarity NPC187722
0.6957 Remote Similarity NPC293564
0.6912 Remote Similarity NPC51700
0.6912 Remote Similarity NPC88716
0.6912 Remote Similarity NPC68160
0.6912 Remote Similarity NPC606443
0.6714 Remote Similarity NPC202728
0.6714 Remote Similarity NPC158059
0.6667 Remote Similarity NPC270768
0.6667 Remote Similarity NPC59263
0.6667 Remote Similarity NPC210106
0.6667 Remote Similarity NPC121798
0.6667 Remote Similarity NPC234346
0.6667 Remote Similarity NPC116457
0.6522 Remote Similarity NPC198664
0.6479 Remote Similarity NPC298554
0.6447 Remote Similarity NPC478836
0.6301 Remote Similarity NPC127689
0.625 Remote Similarity NPC228784
0.625 Remote Similarity NPC324341
0.625 Remote Similarity NPC601810
0.6197 Remote Similarity NPC171203
0.6197 Remote Similarity NPC307426
0.6197 Remote Similarity NPC98442
0.6197 Remote Similarity NPC242468
0.6143 Remote Similarity NPC477872
0.6056 Remote Similarity NPC274330
0.6053 Remote Similarity NPC474727
0.5972 Remote Similarity NPC7260
0.5972 Remote Similarity NPC210037
0.5972 Remote Similarity NPC229281
0.5972 Remote Similarity NPC120968
0.5972 Remote Similarity NPC64872
0.5972 Remote Similarity NPC84319
0.5972 Remote Similarity NPC25906
0.5972 Remote Similarity NPC52021
0.5972 Remote Similarity NPC227467
0.5972 Remote Similarity NPC273621
0.5972 Remote Similarity NPC112866
0.5972 Remote Similarity NPC599947
0.5949 Remote Similarity NPC603645
0.589 Remote Similarity NPC61543
0.589 Remote Similarity NPC293048
0.589 Remote Similarity NPC225585
0.589 Remote Similarity NPC472149
0.5811 Remote Similarity NPC136697
0.5789 Remote Similarity NPC174663
0.5753 Remote Similarity NPC282616
0.5753 Remote Similarity NPC275809
0.5733 Remote Similarity NPC191412
0.5733 Remote Similarity NPC114159
0.5733 Remote Similarity NPC6818
0.5676 Remote Similarity NPC88116
0.5676 Remote Similarity NPC158141
0.5658 Remote Similarity NPC25299
0.5658 Remote Similarity NPC481322
0.5616 Remote Similarity NPC610937
0.56 Remote Similarity NPC29765
0.5584 Remote Similarity NPC187933
0.5541 Remote Similarity NPC195019
0.5526 Remote Similarity NPC263393
0.5526 Remote Similarity NPC91010
0.5506 Remote Similarity NPC488215
0.5493 Remote Similarity NPC604575
0.5467 Remote Similarity NPC231063
0.5467 Remote Similarity NPC18872
0.5467 Remote Similarity NPC282395
0.5467 Remote Similarity NPC130278
0.5467 Remote Similarity NPC290614
0.5467 Remote Similarity NPC110308
0.5467 Remote Similarity NPC609452
0.5325 Remote Similarity NPC118519
0.5325 Remote Similarity NPC474963
0.5263 Remote Similarity NPC106112
0.5263 Remote Similarity NPC261935
0.5263 Remote Similarity NPC71074
0.5263 Remote Similarity NPC37221
0.5263 Remote Similarity NPC481360
0.5263 Remote Similarity NPC605937
0.5217 Remote Similarity NPC290598
0.5217 Remote Similarity NPC27765
0.5217 Remote Similarity NPC30590
0.5217 Remote Similarity NPC122418
0.5217 Remote Similarity NPC491014
0.5211 Remote Similarity NPC101475
0.5195 Remote Similarity NPC259733
0.5195 Remote Similarity NPC158371
0.5195 Remote Similarity NPC207922
0.5195 Remote Similarity NPC200752
0.5195 Remote Similarity NPC120840
0.519 Remote Similarity NPC20235
0.519 Remote Similarity NPC299996
0.519 Remote Similarity NPC222047
0.5176 Remote Similarity NPC204407
0.5139 Remote Similarity NPC235341
0.5132 Remote Similarity NPC37038
0.5128 Remote Similarity NPC610635
0.5122 Remote Similarity NPC188833
0.5116 Remote Similarity NPC283849
0.5116 Remote Similarity NPC28198
0.5116 Remote Similarity NPC476123
0.5116 Remote Similarity NPC606107
0.5109 Remote Similarity NPC198621
0.5109 Remote Similarity NPC216940
0.5065 Remote Similarity NPC38754

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC192546 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