Natural Product: NPC576313

Natural Product IDNPC576313
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3~{S},5~{S},8~{R},9~{S},10~{S},13~{R},14~{S},17~{R})-3-[(2~{S},4~{R},5~{R},6~{R})-4,5-dihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-5,14-dihydroxy-13-methyl-17-(5-oxo-2~{H}-furan-3-yl)-2,3,4,6,7,8,9,11,12,15,16,17-dodecahydro-1~{H}-cyclopenta[a]phenanthrene-10-carbaldehyde
IUPAC Name (3~{S},5~{S},8~{R},9~{S},10~{S},13~{R},14~{S},17~{R})-3-[(2~{S},4~{R},5~{R},6~{R})-4,5-dihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-5,14-dihydroxy-13-methyl-17-(5-oxo-2~{H}-furan-3-yl)-2,3,4,6,7,8,9,11,12,15,16,17-dodecahydro-1~{H}-cyclopenta[a]phenanthrene-10-carbaldehyde
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
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 QBILRDAMJUPXCX-YLADIGORSA-N
Standard InCHI InChI=1S/C29H42O9/c1-16-25(33)22(31)12-24(37-16)38-18-3-8-27(15-30)20-4-7-26(2)19(17-11-23(32)36-14-17)6-10-29(26,35)21(20)5-9-28(27,34)13-18/h11,15-16,18-22,24-25,31,33-35H,3-10,12-14H2,1-2H3/t16-,18+,19-,20+,21-,22-,24-,25+,26-,27+,28+,29+/m1/s1
SMILES C[C@H]1O[C@H](O[C@H]2CC[C@]3(C=O)[C@H]4CC[C@]5(C)[C@@H](C6=CC(=O)OC6)CC[C@]5(O)[C@@H]4CC[C@]3(O)C2)C[C@@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   534.28 Volume:   530.004
?
Van der Waals volume.
Dense:   1.008 LogP:   0.696
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.449
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.169
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   33.0
TPSA:   142.75
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.241 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.323 Fsp3:   0.862
MCE-18:   114.074
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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:   0.855 Fluc inhibitor:   0.005
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.002
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.152 Promiscuous compounds:   0.558

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.723 MDCK Permeability:   -5.117
Pgp-inhibitor:   0.0 Pgp-substrate:   0.983
PAMPA:   0.999
?
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):   0.003
20% Bioavailability (F20%):   0.075 30% Bioavailability (F30%):   0.139
50% Bioavailability (F50%):   0.969

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.285
Plasma Protein Binding (PPB):   65.557% Volume Distribution (VD):   -0.168
Fu: 33.174%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   0.987 BCRP inhibitor:   0.012
BSEP inhibitor:   0.48

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.998 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.486
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):  3.187 Half-life (T1/2):  4.054

ADMET: Toxicity

hERG Blockers:  0.218 hERG Blockers (10um):  0.815
Human Hepatotoxicity (H-HT):  0.771 Drug-induced Liver Injury (DILI):  0.4
AMES Toxicity:  0.845 Rat Oral Acute Toxicity:  0.991
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.942 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.991
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.782
Hematotoxicity:  0.36 Drug-induced Nephrotoxicity:  0.939
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.809
A549 Cytotoxicity:  0.877 Hek293 Cytotoxicity:  0.99
BCF:   0.571
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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:   3.329
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.913
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.254
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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
NPO17222 Hesperis matronalis Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO604 Erysimum crepidifolium Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17966 Erysimum helveticum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO604 Erysimum crepidifolium Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO604 Erysimum crepidifolium Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8100 Erysimum cheiranthoides Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17966 Erysimum helveticum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17222 Hesperis matronalis Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO604 Erysimum crepidifolium Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8100 Erysimum cheiranthoides Species Brassicaceae 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 NPC576313 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
0.8611 High Similarity NPC474418
0.8026 Intermediate Similarity NPC17896
0.8026 Intermediate Similarity NPC469755
0.8026 Intermediate Similarity NPC284406
0.8026 Intermediate Similarity NPC197707
0.8026 Intermediate Similarity NPC251866
0.7821 Intermediate Similarity NPC180079
0.7692 Intermediate Similarity NPC10823
0.7662 Intermediate Similarity NPC484211
0.7342 Intermediate Similarity NPC6108
0.7342 Intermediate Similarity NPC89514
0.7308 Intermediate Similarity NPC471633
0.7215 Intermediate Similarity NPC219085
0.7176 Intermediate Similarity NPC608063
0.6923 Remote Similarity NPC329636
0.6914 Remote Similarity NPC484210
0.6875 Remote Similarity NPC99728
0.6875 Remote Similarity NPC87250
0.6875 Remote Similarity NPC244402
0.6875 Remote Similarity NPC50305
0.6854 Remote Similarity NPC146857
0.6782 Remote Similarity NPC32793
0.6782 Remote Similarity NPC116075
0.6742 Remote Similarity NPC469749
0.6707 Remote Similarity NPC157376
0.6707 Remote Similarity NPC34390
0.6707 Remote Similarity NPC142066
0.6707 Remote Similarity NPC603972
0.6706 Remote Similarity NPC72260
0.6702 Remote Similarity NPC329675
0.6667 Remote Similarity NPC9499
0.6667 Remote Similarity NPC471360
0.6667 Remote Similarity NPC473852
0.6667 Remote Similarity NPC469751
0.6667 Remote Similarity NPC471361
0.6667 Remote Similarity NPC86159
0.6667 Remote Similarity NPC469752
0.6667 Remote Similarity NPC469754
0.6667 Remote Similarity NPC70542
0.6484 Remote Similarity NPC247190
0.6404 Remote Similarity NPC475556
0.6404 Remote Similarity NPC311706
0.64 Remote Similarity NPC72772
0.6395 Remote Similarity NPC469753
0.6386 Remote Similarity NPC84987
0.6354 Remote Similarity NPC194716
0.6279 Remote Similarity NPC471359
0.6145 Remote Similarity NPC158344
0.6118 Remote Similarity NPC469750
0.6 Remote Similarity NPC309034
0.5977 Remote Similarity NPC77319
0.5977 Remote Similarity NPC484212
0.5977 Remote Similarity NPC471351
0.5977 Remote Similarity NPC471355
0.5882 Remote Similarity NPC99620
0.5806 Remote Similarity NPC475629
0.5745 Remote Similarity NPC59288
0.5745 Remote Similarity NPC125077
0.5714 Remote Similarity NPC173555
0.5682 Remote Similarity NPC84949
0.5682 Remote Similarity NPC76572
0.5682 Remote Similarity NPC480562
0.5682 Remote Similarity NPC74945
0.5682 Remote Similarity NPC31354
0.5682 Remote Similarity NPC193382
0.5682 Remote Similarity NPC69576
0.5682 Remote Similarity NPC480914
0.5667 Remote Similarity NPC471354
0.5667 Remote Similarity NPC27507
0.5584 Remote Similarity NPC97487
0.5568 Remote Similarity NPC480915
0.5556 Remote Similarity NPC483822
0.5556 Remote Similarity NPC93883
0.5495 Remote Similarity NPC193893
0.5444 Remote Similarity NPC250556
0.5443 Remote Similarity NPC10232
0.5393 Remote Similarity NPC5311
0.5393 Remote Similarity NPC77299
0.5393 Remote Similarity NPC480906
0.5385 Remote Similarity NPC484202
0.5306 Remote Similarity NPC329986
0.5306 Remote Similarity NPC140092
0.5281 Remote Similarity NPC196429
0.5258 Remote Similarity NPC55532
0.5253 Remote Similarity NPC486138
0.5253 Remote Similarity NPC276838
0.525 Remote Similarity NPC196931
0.5217 Remote Similarity NPC179412
0.5217 Remote Similarity NPC471356
0.5217 Remote Similarity NPC277374
0.5208 Remote Similarity NPC188234
0.5208 Remote Similarity NPC240070
0.5204 Remote Similarity NPC232785
0.5204 Remote Similarity NPC486139
0.5165 Remote Similarity NPC199428
0.5165 Remote Similarity NPC109448
0.5165 Remote Similarity NPC310341
0.5146 Remote Similarity NPC120390
0.5146 Remote Similarity NPC74259
0.5122 Remote Similarity NPC469794
0.5109 Remote Similarity NPC88668
0.5109 Remote Similarity NPC83287
0.5106 Remote Similarity NPC480907
0.5098 Remote Similarity NPC475590
0.5054 Remote Similarity NPC305574

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC576313 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
0.8026 Intermediate Similarity NPD7319 Approved
0.6706 Remote Similarity NPD8294 Phase 4
0.5714 Remote Similarity NPD8296 Phase 4
0.5579 Remote Similarity NPD8377 Phase 4
0.5444 Remote Similarity NPD7507 Pre-clinical
0.5385 Remote Similarity NPD7516 Pre-clinical
0.5109 Remote Similarity NPD7327 Approved
0.5109 Remote Similarity NPD7328 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