Natural Product: NPC471359

Natural Product IDNPC471359
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Antiarigenin 3-O-Beta-4,6-Dideoxy-D-Allopyranoside
IUPAC Name (3S,5S,8R,9S,10S,12R,13S,14S,17R)-3-[(2S,3R,4R,6R)-3,4-dihydroxy-6-methyloxan-2-yl]oxy-5,12,14-trihydroxy-13-methyl-17-(5-oxo-2H-furan-3-yl)-2,3,4,6,7,8,9,11,12,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthrene-10-carbaldehyde
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2419865
PubChem CID 73356795
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 XAWYAZSPAYVPBC-UJBLMFSHSA-N
Standard InCHI InChI=1S/C29H42O10/c1-15-9-21(31)24(34)25(38-15)39-17-3-6-27(14-30)20-11-22(32)26(2)18(16-10-23(33)37-13-16)5-8-29(26,36)19(20)4-7-28(27,35)12-17/h10,14-15,17-22,24-25,31-32,34-36H,3-9,11-13H2,1-2H3/t15-,17+,18-,19-,20+,21-,22-,24-,25+,26+,27+,28+,29+/m1/s1
SMILES O=C[C@@]12CC[C@@H](C[C@@]2(O)CC[C@@H]2[C@@H]1C[C@@H](O)[C@]1([C@]2(O)CC[C@@H]1C1=CC(=O)OC1)C)O[C@@H]1O[C@H](C)C[C@H]([C@H]1O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   550.28 Volume:   538.794
?
Van der Waals volume.
Dense:   1.021 LogP:   0.213
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.938
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.673
?
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:   0.192 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.522 Fsp3:   0.862
MCE-18:   116.926
?
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:   0.643 Fluc inhibitor:   0.005
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.018
?
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:   0.144 Promiscuous compounds:   0.648

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.908 MDCK Permeability:   -5.12
Pgp-inhibitor:   0.0 Pgp-substrate:   0.999
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):   0.08
20% Bioavailability (F20%):   0.634 30% Bioavailability (F30%):   0.553
50% Bioavailability (F50%):   0.979

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.008 MRP1:   0.746
Plasma Protein Binding (PPB):   30.332% Volume Distribution (VD):   -0.587
Fu: 75.065%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.909
OATP1B3 inhibitor:   0.904 BCRP inhibitor:   0.015
BSEP inhibitor:   0.232

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.013
HLM stability:   0.005
?
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):  2.758 Half-life (T1/2):  3.932

ADMET: Toxicity

hERG Blockers:  0.254 hERG Blockers (10um):  0.742
Human Hepatotoxicity (H-HT):  0.691 Drug-induced Liver Injury (DILI):  0.267
AMES Toxicity:  0.846 Rat Oral Acute Toxicity:  0.996
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.977 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.999
Drug-induced Neurotoxicity:  0.016 Ototoxicity:  0.729
Hematotoxicity:  0.387 Drug-induced Nephrotoxicity:  0.964
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.898
A549 Cytotoxicity:  0.72 Hek293 Cytotoxicity:  0.989
BCF:   0.472
?
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:   3.165
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.721
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.858
?
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 = 81.6 % 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 NPC471359 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
0.8 Intermediate Similarity NPC9499
0.8 Intermediate Similarity NPC471360
0.8 Intermediate Similarity NPC469751
0.8 Intermediate Similarity NPC471361
0.8 Intermediate Similarity NPC86159
0.8 Intermediate Similarity NPC469752
0.8 Intermediate Similarity NPC469754
0.8 Intermediate Similarity NPC70542
0.7059 Intermediate Similarity NPC469753
0.6824 Remote Similarity NPC77319
0.6824 Remote Similarity NPC471351
0.6824 Remote Similarity NPC471355
0.6667 Remote Similarity NPC471354
0.6667 Remote Similarity NPC27507
0.6623 Remote Similarity NPC469794
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 NPC179412
0.6364 Remote Similarity NPC471356
0.6279 Remote Similarity NPC219085
0.6 Remote Similarity NPC471353
0.5889 Remote Similarity NPC180079
0.5789 Remote Similarity NPC32793
0.5789 Remote Similarity NPC116075
0.5773 Remote Similarity NPC469749
0.5667 Remote Similarity NPC6108
0.5667 Remote Similarity NPC89514
0.5638 Remote Similarity NPC173555
0.5625 Remote Similarity NPC608063
0.5618 Remote Similarity NPC99728
0.5618 Remote Similarity NPC87250
0.5618 Remote Similarity NPC244402
0.5618 Remote Similarity NPC50305
0.5604 Remote Similarity NPC10823
0.5556 Remote Similarity NPC146857
0.5556 Remote Similarity NPC84987
0.5556 Remote Similarity NPC247190
0.5506 Remote Similarity NPC158344
0.5506 Remote Similarity NPC474418
0.5495 Remote Similarity NPC157376
0.5495 Remote Similarity NPC142066
0.5495 Remote Similarity NPC603972
0.5368 Remote Similarity NPC488162
0.5368 Remote Similarity NPC93416
0.5366 Remote Similarity NPC189588
0.5357 Remote Similarity NPC196471
0.5354 Remote Similarity NPC59288
0.5354 Remote Similarity NPC208193
0.5233 Remote Similarity NPC475030
0.5192 Remote Similarity NPC329636
0.5189 Remote Similarity NPC329675
0.5189 Remote Similarity NPC194716
0.5161 Remote Similarity NPC469750
0.5161 Remote Similarity NPC34390
0.5155 Remote Similarity NPC474466
0.5106 Remote Similarity NPC480914
0.5054 Remote Similarity NPC484211

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471359 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
0.6395 Remote Similarity NPD7319 Approved
0.5638 Remote Similarity NPD8296 Phase 4
0.5543 Remote Similarity NPD8335 Phase 4
0.5484 Remote Similarity NPD8380 Approved
0.5149 Remote Similarity NPD8378 Pre-clinical
0.5149 Remote Similarity NPD8379 Approved

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