Natural Product: NPC469752

Natural Product IDNPC469752
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Antialloside
IUPAC Name (3S,5S,8R,9S,10S,12R,13S,14S,17R)-5,12,14-trihydroxy-13-methyl-17-(5-oxo-2H-furan-3-yl)-3-[(2S,3R,4R,5S,6R)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxy-2,3,4,6,7,8,9,11,12,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthrene-10-carbaldehyde
Synonyms Antialloside
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1169681
PubChem CID 49799519
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 MFIXZHBJWSBQJA-NCKLWLLBSA-N
Standard InCHI InChI=1S/C29H42O11/c1-14-22(33)23(34)24(35)25(39-14)40-16-3-6-27(13-30)19-10-20(31)26(2)17(15-9-21(32)38-12-15)5-8-29(26,37)18(19)4-7-28(27,36)11-16/h9,13-14,16-20,22-25,31,33-37H,3-8,10-12H2,1-2H3/t14-,16+,17-,18-,19+,20-,22-,23-,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@H]([C@H]([C@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   566.27 Volume:   547.584
?
Van der Waals volume.
Dense:   1.034 LogP:   -0.878
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.167
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.785
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   33.0
TPSA:   183.21
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.149 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.511 Fsp3:   0.862
MCE-18:   119.778
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.636 Fluc inhibitor:   0.006
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.141 Promiscuous compounds:   0.355

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.324 MDCK Permeability:   -5.281
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
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):   0.147
20% Bioavailability (F20%):   0.661 30% Bioavailability (F30%):   0.558
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.008 MRP1:   0.735
Plasma Protein Binding (PPB):   26.237% Volume Distribution (VD):   -0.595
Fu: 79.662%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.922
OATP1B3 inhibitor:   0.889 BCRP inhibitor:   0.004
BSEP inhibitor:   0.005

ADMET: Metabolism

CYP1A2-inhibitor:   0.02 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.077 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.009 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.007
HLM stability:   0.266
?
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):  1.342 Half-life (T1/2):  3.673

ADMET: Toxicity

hERG Blockers:  0.135 hERG Blockers (10um):  0.617
Human Hepatotoxicity (H-HT):  0.697 Drug-induced Liver Injury (DILI):  0.347
AMES Toxicity:  0.919 Rat Oral Acute Toxicity:  0.996
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.968 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.999
Drug-induced Neurotoxicity:  0.008 Ototoxicity:  0.642
Hematotoxicity:  0.716 Drug-induced Nephrotoxicity:  0.989
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.948
A549 Cytotoxicity:  0.949 Hek293 Cytotoxicity:  0.995
BCF:   0.514
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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:   3.16
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.617
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.828
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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
NPT147 Cell line SK-MEL-2 Homo sapiens ED50 = 0.12 ug ml-1 PMID[16643036]
NPT308 Cell line CAKI-1 Homo sapiens ED50 = 0.068 ug ml-1 PMID[23376010]
NPT309 Cell line 1A9 Homo sapiens ED50 = 0.062 ug ml-1 PMID[23190013]
NPT306 Cell line PC-3 Homo sapiens ED50 = 0.085 ug ml-1 PMID[23190013]
NPT83 Cell line MCF7 Homo sapiens ED50 = 0.12 ug ml-1 PMID[24063582]
NPT81 Cell line A549 Homo sapiens ED50 = 0.046 ug ml-1 PMID[24063582]
NPT91 Cell line KB Homo sapiens ED50 = 0.065 ug ml-1 PMID[20231390]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 0.25 uM PMID[20553004]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 350.0 % PMID[20553004]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Ratio = 80.0 n.a. PMID[20553004]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 70.7 % PMID[24033101]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 0.11 ug ml-1 PMID[24582402]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 0.15 ug ml-1 PMID[24582402]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. ED50 = 0.075 ug ml-1 PMID[24582402]

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 NPC469752 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 NPC9499
1.0 High Similarity NPC471360
1.0 High Similarity NPC469751
1.0 High Similarity NPC471361
1.0 High Similarity NPC86159
1.0 High Similarity NPC469754
1.0 High Similarity NPC70542
0.8571 High Similarity NPC77319
0.8571 High Similarity NPC471351
0.8571 High Similarity NPC471355
0.8354 Intermediate Similarity NPC471354
0.8354 Intermediate Similarity NPC27507
0.8077 Intermediate Similarity NPC17896
0.8077 Intermediate Similarity NPC469755
0.8077 Intermediate Similarity NPC284406
0.8077 Intermediate Similarity NPC197707
0.8077 Intermediate Similarity NPC251866
0.8 Intermediate Similarity NPC471359
0.7778 Intermediate Similarity NPC179412
0.7778 Intermediate Similarity NPC471356
0.7683 Intermediate Similarity NPC469753
0.7349 Intermediate Similarity NPC471353
0.716 Intermediate Similarity NPC99728
0.716 Intermediate Similarity NPC87250
0.716 Intermediate Similarity NPC244402
0.716 Intermediate Similarity NPC50305
0.6988 Remote Similarity NPC157376
0.6988 Remote Similarity NPC142066
0.6988 Remote Similarity NPC603972
0.6667 Remote Similarity NPC219085
0.663 Remote Similarity NPC469749
0.6484 Remote Similarity NPC32793
0.6484 Remote Similarity NPC116075
0.641 Remote Similarity NPC469794
0.6395 Remote Similarity NPC469750
0.6304 Remote Similarity NPC471357
0.6304 Remote Similarity NPC469757
0.6304 Remote Similarity NPC117702
0.6279 Remote Similarity NPC84987
0.6211 Remote Similarity NPC146857
0.6163 Remote Similarity NPC99620
0.6136 Remote Similarity NPC10823
0.6092 Remote Similarity NPC309034
0.6067 Remote Similarity NPC180079
0.6042 Remote Similarity NPC247190
0.6 Remote Similarity NPC59288
0.6 Remote Similarity NPC208193
0.5978 Remote Similarity NPC173555
0.5957 Remote Similarity NPC608063
0.5955 Remote Similarity NPC76572
0.5955 Remote Similarity NPC193382
0.5889 Remote Similarity NPC83287
0.5862 Remote Similarity NPC158344
0.5862 Remote Similarity NPC474418
0.5843 Remote Similarity NPC6108
0.5843 Remote Similarity NPC89514
0.5784 Remote Similarity NPC329675
0.5784 Remote Similarity NPC194716
0.573 Remote Similarity NPC196429
0.5667 Remote Similarity NPC480915
0.5625 Remote Similarity NPC475556
0.5625 Remote Similarity NPC311706
0.5604 Remote Similarity NPC480914
0.5567 Remote Similarity NPC475629
0.5495 Remote Similarity NPC5311
0.5481 Remote Similarity NPC117445
0.5481 Remote Similarity NPC308262
0.5464 Remote Similarity NPC240070
0.5385 Remote Similarity NPC484211
0.534 Remote Similarity NPC329636
0.5326 Remote Similarity NPC77299
0.5326 Remote Similarity NPC34390
0.5326 Remote Similarity NPC480906
0.5253 Remote Similarity NPC264336
0.5204 Remote Similarity NPC62172
0.5181 Remote Similarity NPC189588
0.5176 Remote Similarity NPC196471
0.5161 Remote Similarity NPC484210
0.5152 Remote Similarity NPC188234
0.5152 Remote Similarity NPC75616
0.5109 Remote Similarity NPC471633
0.5102 Remote Similarity NPC30483
0.5102 Remote Similarity NPC470897
0.5057 Remote Similarity NPC475030
0.5052 Remote Similarity NPC480907
0.5051 Remote Similarity NPC236973
0.5051 Remote Similarity NPC27363
0.505 Remote Similarity NPC125077

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC469752 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
0.8077 Intermediate Similarity NPD7319 Approved
0.5978 Remote Similarity NPD8296 Phase 4
0.5889 Remote Similarity NPD7327 Approved
0.5889 Remote Similarity NPD7328 Phase 4
0.5543 Remote Similarity NPD8335 Phase 4
0.5484 Remote Similarity NPD8380 Approved
0.53 Remote Similarity NPD8378 Pre-clinical
0.53 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