Natural Product: NPC591475

Natural Product IDNPC591475
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~{R},4~{S},5~{S},6~{S})-5-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4-dihydroxy-6-(hydroxymethyl)-5-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-4-methoxy-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~{R},4~{S},5~{S},6~{S})-5-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4-dihydroxy-6-(hydroxymethyl)-5-[(2~{S},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-4-methoxy-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]

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 CTNPHHZPAJYPFO-RODZRPJJSA-N
Standard InCHI InChI=1S/C42H64O19/c1-19-35(60-38-34(51)32(49)36(27(16-44)59-38)61-37-33(50)31(48)30(47)26(15-43)58-37)25(54-3)13-29(56-19)57-21-4-9-40(18-45)23-5-8-39(2)22(20-12-28(46)55-17-20)7-11-42(39,53)24(23)6-10-41(40,52)14-21/h12,18-19,21-27,29-38,43-44,47-53H,4-11,13-17H2,1-3H3/t19-,21-,22+,23-,24+,25-,26+,27-,29-,30-,31-,32+,33+,34+,35-,36-,37-,38-,39+,40-,41-,42-/m0/s1
SMILES CO[C@H]1C[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)O[C@@H](C)[C@@H]1O[C@@H]1O[C@@H](CO)[C@H](O[C@@H]2O[C@H](CO)[C@H](O)[C@H](O)[C@H]2O)[C@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   872.4 Volume:   825.641
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Van der Waals volume.
Dense:   1.057 LogP:   -1.45
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.44
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.404
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   45.0
TPSA:   290.05
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Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   9.0 Rings:   8.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.062 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.262 Fsp3:   0.905
MCE-18:   158.2
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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:   0.695 Fluc inhibitor:   0.004
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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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:   0.208 Promiscuous compounds:   0.28

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.636 MDCK Permeability:   -5.261
Pgp-inhibitor:   0.0 Pgp-substrate:   0.999
PAMPA:   1.0
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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):   0.961
20% Bioavailability (F20%):   0.897 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.396
Plasma Protein Binding (PPB):   44.858% Volume Distribution (VD):   -0.529
Fu: 55.628%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.035 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:   0.995 CYP3A4-substrate:   0.006
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.186
HLM stability:   0.001
?
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):  0.528 Half-life (T1/2):  3.008

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.114
Human Hepatotoxicity (H-HT):  0.916 Drug-induced Liver Injury (DILI):  0.967
AMES Toxicity:  0.998 Rat Oral Acute Toxicity:  0.943
Maximum Recommended Daily Dose:  0.994 Skin Sensitization:  1.0
Carcinogencity:  0.936 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.836
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.989
Hematotoxicity:  0.894 Drug-induced Nephrotoxicity:  0.996
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.943
A549 Cytotoxicity:  0.998 Hek293 Cytotoxicity:  0.998
BCF:   0.562
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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:   3.238
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.713
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.835
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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
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11771 Strophanthus kombe Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11771 Strophanthus kombe Species Apocynaceae 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 NPC591475 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
0.9213 High Similarity NPC146857
0.8737 High Similarity NPC329675
0.8542 High Similarity NPC194716
0.7957 Intermediate Similarity NPC32793
0.7957 Intermediate Similarity NPC116075
0.7449 Intermediate Similarity NPC329986
0.7449 Intermediate Similarity NPC140092
0.7273 Intermediate Similarity NPC247190
0.7157 Intermediate Similarity NPC329636
0.7143 Intermediate Similarity NPC475629
0.7041 Intermediate Similarity NPC475556
0.7041 Intermediate Similarity NPC311706
0.7 Intermediate Similarity NPC469749
0.69 Remote Similarity NPC59288
0.6809 Remote Similarity NPC17896
0.6809 Remote Similarity NPC469755
0.6809 Remote Similarity NPC284406
0.6809 Remote Similarity NPC197707
0.6809 Remote Similarity NPC251866
0.6702 Remote Similarity NPC84987
0.67 Remote Similarity NPC608063
0.6698 Remote Similarity NPC475419
0.6667 Remote Similarity NPC180079
0.6606 Remote Similarity NPC474423
0.6505 Remote Similarity NPC232785
0.6505 Remote Similarity NPC486139
0.6408 Remote Similarity NPC125077
0.6389 Remote Similarity NPC120390
0.6389 Remote Similarity NPC74259
0.6373 Remote Similarity NPC188234
0.6354 Remote Similarity NPC219085
0.625 Remote Similarity NPC486143
0.625 Remote Similarity NPC486135
0.625 Remote Similarity NPC486142
0.625 Remote Similarity NPC486137
0.625 Remote Similarity NPC486149
0.6226 Remote Similarity NPC486138
0.6226 Remote Similarity NPC276838
0.6182 Remote Similarity NPC474908
0.6154 Remote Similarity NPC264336
0.6126 Remote Similarity NPC329784
0.6122 Remote Similarity NPC6108
0.6122 Remote Similarity NPC89514
0.6117 Remote Similarity NPC236973
0.6117 Remote Similarity NPC32177
0.6117 Remote Similarity NPC469756
0.6117 Remote Similarity NPC275901
0.6061 Remote Similarity NPC10823
0.6061 Remote Similarity NPC480914
0.6 Remote Similarity NPC486127
0.5981 Remote Similarity NPC486146
0.596 Remote Similarity NPC157376
0.596 Remote Similarity NPC142066
0.596 Remote Similarity NPC603972
0.5918 Remote Similarity NPC99728
0.5918 Remote Similarity NPC87250
0.5918 Remote Similarity NPC244402
0.5918 Remote Similarity NPC50305
0.5909 Remote Similarity NPC486144
0.5909 Remote Similarity NPC486145
0.5909 Remote Similarity NPC486147
0.5909 Remote Similarity NPC486136
0.5909 Remote Similarity NPC486148
0.5905 Remote Similarity NPC486130
0.5841 Remote Similarity NPC486150
0.58 Remote Similarity NPC5311
0.58 Remote Similarity NPC77299
0.58 Remote Similarity NPC34390
0.58 Remote Similarity NPC480906
0.5784 Remote Similarity NPC9499
0.5784 Remote Similarity NPC471360
0.5784 Remote Similarity NPC469751
0.5784 Remote Similarity NPC471361
0.5784 Remote Similarity NPC86159
0.5784 Remote Similarity NPC469752
0.5784 Remote Similarity NPC469754
0.5784 Remote Similarity NPC70542
0.5766 Remote Similarity NPC475590
0.5676 Remote Similarity NPC486128
0.5614 Remote Similarity NPC117445
0.5614 Remote Similarity NPC308262
0.5614 Remote Similarity NPC486134
0.5614 Remote Similarity NPC486141
0.5586 Remote Similarity NPC486132
0.5586 Remote Similarity NPC486131
0.5556 Remote Similarity NPC610296
0.5524 Remote Similarity NPC480907
0.55 Remote Similarity NPC158344
0.55 Remote Similarity NPC474418
0.5463 Remote Similarity NPC480910
0.5463 Remote Similarity NPC240070
0.5463 Remote Similarity NPC480909
0.5437 Remote Similarity NPC243196
0.5421 Remote Similarity NPC30483
0.5421 Remote Similarity NPC470897
0.5385 Remote Similarity NPC146456
0.537 Remote Similarity NPC292467
0.5364 Remote Similarity NPC208193
0.5345 Remote Similarity NPC486140
0.534 Remote Similarity NPC469750
0.5299 Remote Similarity NPC486133
0.5288 Remote Similarity NPC76572
0.5288 Remote Similarity NPC193382
0.5273 Remote Similarity NPC231518
0.5273 Remote Similarity NPC488944
0.5243 Remote Similarity NPC309034
0.5238 Remote Similarity NPC77319
0.5238 Remote Similarity NPC484212
0.5238 Remote Similarity NPC471351
0.5238 Remote Similarity NPC471355
0.5189 Remote Similarity NPC471359
0.5189 Remote Similarity NPC483822
0.5146 Remote Similarity NPC99620
0.514 Remote Similarity NPC469753
0.514 Remote Similarity NPC471354
0.514 Remote Similarity NPC27507
0.513 Remote Similarity NPC488943
0.513 Remote Similarity NPC488942
0.5082 Remote Similarity NPC486152
0.5043 Remote Similarity NPC475219

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC591475 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
0.6809 Remote Similarity NPD7319 Approved
0.5273 Remote Similarity NPD8033 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