Natural Product: NPC140864

Natural Product IDNPC140864
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UTSCVCXUBUMWOX-ICDOJPABSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101290462
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001445] Bile acids, alcohols and derivatives
          • [CHEMONTID:0002194] Hydroxy bile acids, alcohols and derivatives
            • [CHEMONTID:0000260] Monohydroxy bile acids, 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 UTSCVCXUBUMWOX-ICDOJPABSA-N
Standard InCHI InChI=1S/C25H38O3/c1-15(21(27)28)16-9-13-25(6)18-7-8-19-22(2,3)20(26)11-12-23(19,4)17(18)10-14-24(16,25)5/h7,10,15-16,19-20,26H,8-9,11-14H2,1-6H3,(H,27,28)/t15-,16+,19-,20-,23+,24+,25-/m0/s1
SMILES C[C@@H]([C@H]1CC[C@@]2(C)C3=CC[C@H]4C(C)(C)[C@H](CC[C@]4(C)C3=CC[C@]12C)O)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   386.28 Volume:   425.192
?
Van der Waals volume.
Dense:   0.908 LogP:   3.953
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.227
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.195
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   21.0
TPSA:   57.53
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.65 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.73 Fsp3:   0.8
MCE-18:   79.911
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.631 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.188
?
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:   0.511 Promiscuous compounds:   0.04

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.818 MDCK Permeability:   -4.674
Pgp-inhibitor:   0.019 Pgp-substrate:   0.086
PAMPA:   0.986
?
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%):   0.056 30% Bioavailability (F30%):   0.007
50% Bioavailability (F50%):   0.855

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.47 MRP1:   0.916
Plasma Protein Binding (PPB):   88.758% Volume Distribution (VD):   -0.266
Fu: 10.599%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.518
BSEP inhibitor:   0.945

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.259
HLM stability:   0.0
?
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):  4.853 Half-life (T1/2):  1.327

ADMET: Toxicity

hERG Blockers:  0.033 hERG Blockers (10um):  0.063
Human Hepatotoxicity (H-HT):  0.556 Drug-induced Liver Injury (DILI):  0.189
AMES Toxicity:  0.1 Rat Oral Acute Toxicity:  0.25
Maximum Recommended Daily Dose:  0.595 Skin Sensitization:  0.806
Carcinogencity:  0.532 Eye Corrosion:  0.019
Eye Irritation:  0.791 Respiratory Toxicity:  0.72
Drug-induced Neurotoxicity:  0.034 Ototoxicity:  0.687
Hematotoxicity:  0.307 Drug-induced Nephrotoxicity:  0.629
Genotoxicity:  0.528 RPMI-8226 Immunitoxicity:  0.071
A549 Cytotoxicity:  0.052 Hek293 Cytotoxicity:  0.207
BCF:   0.665
?
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:   3.527
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.081
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.333
?
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
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. callus n.a. PMID[10552648]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. leaf n.a. PMID[18214349]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. seed n.a. PMID[21049975]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[21800857]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[36840093]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[38719900]
NPO8234 Vernonia galamensis Species Asteraceae Eukaryota n.a. seed n.a. PMID[9930408]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5540 Amorpha canescens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8234 Vernonia galamensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8620 Caesalpinia major Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8009 Arctotis venusta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8771 Heterodermia dissecta Species Physciaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4072 Anacyclus radiatus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9455 Uncaria orientalis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9455 Uncaria orientalis Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8620 Caesalpinia major Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5540 Amorpha canescens Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24536 Senecio cylindricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4875 Ugni molinae Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4072 Anacyclus radiatus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9072 Bolocera tuediae Species Actiniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8009 Arctotis venusta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6292 Teucrium brevifolium Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5832 Acacia nelsonii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4321 Siphula ceratites Species Icmadophilaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8620 Caesalpinia major Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8234 Vernonia galamensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5954 Petroselinum crispum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9330 Odinia antillensis Species Odiniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2389 Pinus japonica Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3668 Kalanchoe delagoensis Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8771 Heterodermia dissecta Species Physciaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7188 Zieria granulata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9455 Uncaria orientalis Species Rubiaceae 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 NPC140864 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
0.8103 Intermediate Similarity NPC84271
0.8103 Intermediate Similarity NPC102414
0.7833 Intermediate Similarity NPC77168
0.7705 Intermediate Similarity NPC469406
0.6825 Remote Similarity NPC212948
0.6406 Remote Similarity NPC222845
0.6406 Remote Similarity NPC296577
0.6364 Remote Similarity NPC214697
0.6333 Remote Similarity NPC205455
0.623 Remote Similarity NPC6707
0.6212 Remote Similarity NPC45324
0.6212 Remote Similarity NPC162001
0.6176 Remote Similarity NPC141401
0.6119 Remote Similarity NPC484975
0.6119 Remote Similarity NPC186810
0.6119 Remote Similarity NPC48647
0.6119 Remote Similarity NPC321301
0.6094 Remote Similarity NPC475772
0.6032 Remote Similarity NPC202389
0.597 Remote Similarity NPC203035
0.5902 Remote Similarity NPC72507
0.5781 Remote Similarity NPC231310
0.5735 Remote Similarity NPC138536
0.5652 Remote Similarity NPC477812
0.5645 Remote Similarity NPC20853
0.5571 Remote Similarity NPC484968
0.5429 Remote Similarity NPC608955
0.5342 Remote Similarity NPC39082
0.5342 Remote Similarity NPC610107
0.5294 Remote Similarity NPC83569
0.5294 Remote Similarity NPC233836
0.5294 Remote Similarity NPC159046
0.5294 Remote Similarity NPC187376
0.5231 Remote Similarity NPC147568
0.5205 Remote Similarity NPC484797
0.5143 Remote Similarity NPC69279
0.5139 Remote Similarity NPC484967
0.5135 Remote Similarity NPC49670
0.5075 Remote Similarity NPC201852

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC140864 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