Natural Product: NPC179412

Natural Product IDNPC179412
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Antiaroside O
IUPAC Name (3S,5R,8R,9S,10R,12R,13S,14S,17R)-12,14-dihydroxy-13-methyl-17-(5-oxo-2H-furan-3-yl)-3-[(2R,3R,4R,5R,6R)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxy-1,2,3,4,5,6,7,8,9,11,12,15,16,17-tetradecahydrocyclopenta[a]phenanthrene-10-carbaldehyde
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2419858
PubChem CID 73352255
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001555] Cardenolides and derivatives
            • [CHEMONTID:0001559] Cardenolide glycosides 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 ZZECMXKPIDHLJI-WIZGEALKSA-N
Standard InCHI InChI=1S/C29H42O10/c1-14-23(33)24(34)25(35)26(38-14)39-17-5-7-28(13-30)16(10-17)3-4-19-20(28)11-21(31)27(2)18(6-8-29(19,27)36)15-9-22(32)37-12-15/h9,13-14,16-21,23-26,31,33-36H,3-8,10-12H2,1-2H3/t14-,16-,17+,18-,19-,20+,21-,23+,24-,25-,26+,27+,28-,29+/m1/s1
SMILES C[C@@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@H]1CC[C@@]2(C=O)[C@H](CC[C@@H]3[C@@H]2C[C@H]([C@]2(C)[C@H](CC[C@]32O)C2=CC(=O)OC2)O)C1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   550.28 Volume:   538.794
?
Van der Waals volume.
Dense:   1.021 LogP:   0.443
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.179
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.671
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   33.0
TPSA:   162.98
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   5.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.19 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.43 Fsp3:   0.862
MCE-18:   114.074
?
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:   0.746 Fluc inhibitor:   0.006
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.016
?
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:   0.143 Promiscuous compounds:   0.166

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.98 MDCK Permeability:   -5.087
Pgp-inhibitor:   0.0 Pgp-substrate:   0.997
PAMPA:   1.0
?
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):   0.004
20% Bioavailability (F20%):   0.125 30% Bioavailability (F30%):   0.151
50% Bioavailability (F50%):   0.906

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.118
Plasma Protein Binding (PPB):   31.519% Volume Distribution (VD):   -0.555
Fu: 68.397%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.936
OATP1B3 inhibitor:   0.25 BCRP inhibitor:   0.027
BSEP inhibitor:   0.36

ADMET: Metabolism

CYP1A2-inhibitor:   0.073 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.111 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.066
?
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):  1.226 Half-life (T1/2):  5.16

ADMET: Toxicity

hERG Blockers:  0.089 hERG Blockers (10um):  0.49
Human Hepatotoxicity (H-HT):  0.429 Drug-induced Liver Injury (DILI):  0.598
AMES Toxicity:  0.815 Rat Oral Acute Toxicity:  0.98
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.792 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.991
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.857
Hematotoxicity:  0.832 Drug-induced Nephrotoxicity:  0.997
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.914
A549 Cytotoxicity:  0.163 Hek293 Cytotoxicity:  0.942
BCF:   0.485
?
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:   3.184
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.703
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.817
?
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
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. PMID[20553004]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota latex Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan Province, China 2011-Mar PMID[24033101]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota trunk bark Yunnan, China n.a. PMID[24582402]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8369 Antiaris toxicaria Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8369 Antiaris toxicaria Species Moraceae 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. Inhibition = 82.3 % PMID[24033101]

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 NPC179412 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 NPC471356
0.8462 Intermediate Similarity NPC471353
0.8077 Intermediate Similarity NPC469750
0.7778 Intermediate Similarity NPC9499
0.7778 Intermediate Similarity NPC471360
0.7778 Intermediate Similarity NPC469751
0.7778 Intermediate Similarity NPC471361
0.7778 Intermediate Similarity NPC86159
0.7778 Intermediate Similarity NPC469752
0.7778 Intermediate Similarity NPC469754
0.7778 Intermediate Similarity NPC70542
0.7439 Intermediate Similarity NPC77319
0.7439 Intermediate Similarity NPC471351
0.7439 Intermediate Similarity NPC471355
0.7262 Intermediate Similarity NPC471354
0.7262 Intermediate Similarity NPC27507
0.716 Intermediate Similarity NPC99620
0.7108 Intermediate Similarity NPC480914
0.6905 Remote Similarity NPC76572
0.6905 Remote Similarity NPC193382
0.6897 Remote Similarity NPC173555
0.6889 Remote Similarity NPC208193
0.6667 Remote Similarity NPC196429
0.6588 Remote Similarity NPC480915
0.6484 Remote Similarity NPC188234
0.6395 Remote Similarity NPC5311
0.6395 Remote Similarity NPC17896
0.6395 Remote Similarity NPC469755
0.6395 Remote Similarity NPC284406
0.6395 Remote Similarity NPC197707
0.6395 Remote Similarity NPC251866
0.6364 Remote Similarity NPC471359
0.6344 Remote Similarity NPC125077
0.6304 Remote Similarity NPC240070
0.6277 Remote Similarity NPC232785
0.6277 Remote Similarity NPC486139
0.6263 Remote Similarity NPC117445
0.6263 Remote Similarity NPC308262
0.625 Remote Similarity NPC250556
0.6211 Remote Similarity NPC329986
0.6211 Remote Similarity NPC140092
0.6207 Remote Similarity NPC77299
0.6207 Remote Similarity NPC480906
0.6163 Remote Similarity NPC99728
0.6163 Remote Similarity NPC87250
0.6163 Remote Similarity NPC244402
0.6163 Remote Similarity NPC50305
0.6023 Remote Similarity NPC157376
0.6023 Remote Similarity NPC142066
0.6023 Remote Similarity NPC603972
0.5979 Remote Similarity NPC486138
0.5979 Remote Similarity NPC276838
0.5977 Remote Similarity NPC471633
0.5934 Remote Similarity NPC469753
0.5914 Remote Similarity NPC30483
0.5914 Remote Similarity NPC470897
0.587 Remote Similarity NPC480907
0.5851 Remote Similarity NPC236973
0.5789 Remote Similarity NPC471357
0.5789 Remote Similarity NPC469757
0.5789 Remote Similarity NPC117702
0.575 Remote Similarity NPC189588
0.5732 Remote Similarity NPC196471
0.5699 Remote Similarity NPC72260
0.5699 Remote Similarity NPC488162
0.5699 Remote Similarity NPC93416
0.5684 Remote Similarity NPC32177
0.5684 Remote Similarity NPC292467
0.5684 Remote Similarity NPC469756
0.5684 Remote Similarity NPC275901
0.567 Remote Similarity NPC486143
0.567 Remote Similarity NPC486142
0.567 Remote Similarity NPC486149
0.5625 Remote Similarity NPC480910
0.5625 Remote Similarity NPC480909
0.5604 Remote Similarity NPC199428
0.5604 Remote Similarity NPC84949
0.5604 Remote Similarity NPC109448
0.5604 Remote Similarity NPC480562
0.5604 Remote Similarity NPC74945
0.5604 Remote Similarity NPC310341
0.5604 Remote Similarity NPC31354
0.5604 Remote Similarity NPC69576
0.5595 Remote Similarity NPC475030
0.5577 Remote Similarity NPC486150
0.551 Remote Similarity NPC486135
0.551 Remote Similarity NPC486137
0.5444 Remote Similarity NPC473852
0.5417 Remote Similarity NPC488158
0.5417 Remote Similarity NPC488159
0.54 Remote Similarity NPC486146
0.5385 Remote Similarity NPC84987
0.5385 Remote Similarity NPC309034
0.5361 Remote Similarity NPC27363
0.534 Remote Similarity NPC486144
0.534 Remote Similarity NPC486145
0.534 Remote Similarity NPC486147
0.534 Remote Similarity NPC475590
0.534 Remote Similarity NPC486148
0.5319 Remote Similarity NPC483822
0.5319 Remote Similarity NPC305574
0.53 Remote Similarity NPC469749
0.5238 Remote Similarity NPC120390
0.5238 Remote Similarity NPC74259
0.5238 Remote Similarity NPC475419
0.5238 Remote Similarity NPC469794
0.5217 Remote Similarity NPC219085
0.5213 Remote Similarity NPC83287
0.5192 Remote Similarity NPC486136
0.5189 Remote Similarity NPC474908
0.5155 Remote Similarity NPC474466
0.5152 Remote Similarity NPC32793
0.5152 Remote Similarity NPC116075
0.5106 Remote Similarity NPC480908
0.5104 Remote Similarity NPC193893
0.51 Remote Similarity NPC231518
0.51 Remote Similarity NPC488944
0.5091 Remote Similarity NPC286809
0.5051 Remote Similarity NPC40749
0.505 Remote Similarity NPC55532
0.5047 Remote Similarity NPC486134
0.5047 Remote Similarity NPC486141
0.5046 Remote Similarity NPC474423

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC179412 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
0.6897 Remote Similarity NPD8296 Phase 4
0.6437 Remote Similarity NPD8335 Phase 4
0.6395 Remote Similarity NPD7319 Approved
0.6364 Remote Similarity NPD8380 Approved
0.625 Remote Similarity NPD7507 Pre-clinical
0.6105 Remote Similarity NPD8378 Pre-clinical
0.6105 Remote Similarity NPD8379 Approved
0.5699 Remote Similarity NPD8294 Phase 4
0.5213 Remote Similarity NPD7327 Approved
0.5213 Remote Similarity NPD7328 Phase 4
0.51 Remote Similarity NPD8033 Approved
0.505 Remote Similarity NPD8377 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