Natural Product: NPC73723

Natural Product IDNPC73723
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
UVDOOTXXKWLRMZ-LYKPKXNDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 21768175
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001557] Bufanolides 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 UVDOOTXXKWLRMZ-LYKPKXNDSA-N
Standard InCHI InChI=1S/C26H36O7/c1-15(27)33-17-12-21(28)24(3)19-6-9-23(2)18(16-4-5-22(29)32-14-16)8-11-26(23,31)20(19)7-10-25(24,30)13-17/h4-5,14,17-21,28,30-31H,6-13H2,1-3H3/t17-,18+,19-,20+,21+,23+,24-,25-,26-/m0/s1
SMILES CC(=O)O[C@H]1C[C@H]([C@]2(C)[C@H]3CC[C@]4(C)[C@H](CC[C@@]4([C@@H]3CC[C@@]2(C1)O)O)c1ccc(=O)oc1)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   460.25 Volume:   466.456
?
Van der Waals volume.
Dense:   0.987 LogP:   1.132
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.648
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.447
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   28.0
TPSA:   117.2
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.581 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.864 Fsp3:   0.769
MCE-18:   130.87
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.481 Fluc inhibitor:   0.002
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.286
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.062 Promiscuous compounds:   0.705

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.155 MDCK Permeability:   -4.786
Pgp-inhibitor:   0.004 Pgp-substrate:   0.994
PAMPA:   0.996
?
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):   0.032
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.051 MRP1:   0.98
Plasma Protein Binding (PPB):   79.831% Volume Distribution (VD):   0.13
Fu: 16.914%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.993
OATP1B3 inhibitor:   0.952 BCRP inhibitor:   0.008
BSEP inhibitor:   0.766

ADMET: Metabolism

CYP1A2-inhibitor:   0.016 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.575 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.097 CYP2C9-substrate:   0.011
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.007
CYP3A4-inhibitor:   0.146 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.011 CYP2C8-inhibitor:   0.936
HLM stability:   0.727
?
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):  7.879 Half-life (T1/2):  2.284

ADMET: Toxicity

hERG Blockers:  0.055 hERG Blockers (10um):  0.111
Human Hepatotoxicity (H-HT):  0.552 Drug-induced Liver Injury (DILI):  0.121
AMES Toxicity:  0.453 Rat Oral Acute Toxicity:  0.731
Maximum Recommended Daily Dose:  0.995 Skin Sensitization:  0.749
Carcinogencity:  0.979 Eye Corrosion:  0.0
Eye Irritation:  0.032 Respiratory Toxicity:  0.734
Drug-induced Neurotoxicity:  0.388 Ototoxicity:  0.208
Hematotoxicity:  0.158 Drug-induced Nephrotoxicity:  0.986
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.396
A549 Cytotoxicity:  0.354 Hek293 Cytotoxicity:  0.919
BCF:   0.526
?
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:   3.309
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.779
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.143
?
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
NPO737 Aspergillus japonicus Species Aspergillaceae Eukaryota n.a. latex n.a. PMID[21854017]
NPO9461 Gmelina leichhardtii Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO395 Teucrium pilosum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11673 Koelreuteria paniculata Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11228 Fritillaria pallidiflora Species Liliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8403 Annona coriacea Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7322 Plagiochila acanthophylla Species Plagiochilaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10101 Rothmannia macrophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO737 Aspergillus japonicus Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12045 Schottera nicaeensis Species Phyllophoraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3670 Crotalaria podocarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7322 Plagiochila acanthophylla Species Plagiochilaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11228 Fritillaria pallidiflora Species Liliaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12761 Rheum hotaoense Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11673 Koelreuteria paniculata Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9015 Solanum arundo Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15212.1 Fraxinus chinensis subsp. rhynchophylla Subspecies Oleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11228 Fritillaria pallidiflora Species Liliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3313 Crotalaria trichotoma Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12761 Rheum hotaoense Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO395 Teucrium pilosum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11673 Koelreuteria paniculata Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11673 Koelreuteria paniculata Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11228 Fritillaria pallidiflora Species Liliaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11228 Fritillaria pallidiflora Species Liliaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15212.1 Fraxinus chinensis subsp. rhynchophylla Subspecies Oleaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12045 Schottera nicaeensis Species Phyllophoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5310 Eucalyptus bakeri Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11673 Koelreuteria paniculata Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7322 Plagiochila acanthophylla Species Plagiochilaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11228 Fritillaria pallidiflora Species Liliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4919 Kalanchoe daigremontiana Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11540 Acacia leptostachya Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3313 Crotalaria trichotoma Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13095 Pachycereus tehuantepecanus Species Cactaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10101 Rothmannia macrophylla Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12761 Rheum hotaoense Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9887 Protohermes grandis Species Corydalidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9461 Gmelina leichhardtii Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4454 Maytenus salicifolia Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15212.1 Fraxinus chinensis subsp. rhynchophylla Subspecies Oleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3670 Crotalaria podocarpa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17461 Hedera canariensis Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO737 Aspergillus japonicus Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO395 Teucrium pilosum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9015 Solanum arundo Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8403 Annona coriacea Species Annonaceae 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 NPC73723 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
0.9014 High Similarity NPC55602
0.7143 Intermediate Similarity NPC488753
0.6538 Remote Similarity NPC184555
0.6437 Remote Similarity NPC62172
0.6364 Remote Similarity NPC137462
0.6292 Remote Similarity NPC289700
0.5949 Remote Similarity NPC304276
0.593 Remote Similarity NPC233041
0.593 Remote Similarity NPC488752
0.5882 Remote Similarity NPC154815
0.5882 Remote Similarity NPC247760
0.5773 Remote Similarity NPC603497
0.5765 Remote Similarity NPC44537
0.575 Remote Similarity NPC171014
0.5732 Remote Similarity NPC73050
0.5732 Remote Similarity NPC605625
0.5652 Remote Similarity NPC145074
0.5652 Remote Similarity NPC114939
0.5618 Remote Similarity NPC257610
0.5556 Remote Similarity NPC47870
0.5432 Remote Similarity NPC603706
0.5432 Remote Similarity NPC606351
0.5366 Remote Similarity NPC481623
0.5306 Remote Similarity NPC41123
0.5258 Remote Similarity NPC155529
0.5176 Remote Similarity NPC12795
0.5158 Remote Similarity NPC75616
0.5158 Remote Similarity NPC611669
0.5152 Remote Similarity NPC16270
0.5114 Remote Similarity NPC75389
0.5055 Remote Similarity NPC183603

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC73723 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
0.5158 Remote Similarity NPD7503 Phase 4

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