Natural Product: NPC90945

Natural Product IDNPC90945
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LEORFFVSVUWAEY-VKZDBDJISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6914702
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 LEORFFVSVUWAEY-VKZDBDJISA-N
Standard InCHI InChI=1S/C30H46O8/c1-16-27(33)23(35-4)13-25(37-16)38-19-7-9-28(2)18(12-19)5-6-21-26(28)22(31)14-29(3)20(8-10-30(21,29)34)17-11-24(32)36-15-17/h11,16,18-23,25-27,31,33-34H,5-10,12-15H2,1-4H3/t16-,18-,19+,20-,21-,22-,23+,25+,26-,27+,28+,29-,30+/m1/s1
SMILES C[C@@H]1[C@@H]([C@H](C[C@@H](O1)O[C@H]1CC[C@@]2(C)[C@H](CC[C@@H]3[C@@H]2[C@@H](C[C@]2(C)[C@H](CC[C@]32O)C2=CC(=O)OC2)O)C1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   534.32 Volume:   541.146
?
Van der Waals volume.
Dense:   0.987 LogP:   1.572
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.174
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.496
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   32.0
TPSA:   114.68
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.372 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.24 Fsp3:   0.9
MCE-18:   109.474
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.803 Fluc inhibitor:   0.002
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.023
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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:   0.14 Promiscuous compounds:   0.578

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.608 MDCK Permeability:   -5.196
Pgp-inhibitor:   0.124 Pgp-substrate:   0.885
PAMPA:   0.978
?
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):   0.013
20% Bioavailability (F20%):   0.143 30% Bioavailability (F30%):   0.094
50% Bioavailability (F50%):   0.833

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.439 MRP1:   0.634
Plasma Protein Binding (PPB):   54.785% Volume Distribution (VD):   -0.037
Fu: 49.577%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.95 BCRP inhibitor:   0.409
BSEP inhibitor:   0.653

ADMET: Metabolism

CYP1A2-inhibitor:   0.047 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.397 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.24
HLM stability:   0.039
?
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):  6.161 Half-life (T1/2):  2.955

ADMET: Toxicity

hERG Blockers:  0.182 hERG Blockers (10um):  0.669
Human Hepatotoxicity (H-HT):  0.632 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.982 Rat Oral Acute Toxicity:  0.996
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.962 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.998
Drug-induced Neurotoxicity:  0.044 Ototoxicity:  0.683
Hematotoxicity:  0.921 Drug-induced Nephrotoxicity:  0.991
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.865
A549 Cytotoxicity:  0.958 Hek293 Cytotoxicity:  0.982
BCF:   0.54
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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:   3.264
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.867
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.081
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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
NPO9481 Strophanthus divaricatus Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9481 Strophanthus divaricatus Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9481 Strophanthus divaricatus Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9481 Strophanthus divaricatus Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]

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 NPC90945 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
0.8312 Intermediate Similarity NPC84949
0.8312 Intermediate Similarity NPC480562
0.8312 Intermediate Similarity NPC74945
0.8312 Intermediate Similarity NPC31354
0.8312 Intermediate Similarity NPC69576
0.7439 Intermediate Similarity NPC483822
0.7073 Intermediate Similarity NPC99080
0.6988 Remote Similarity NPC152615
0.6667 Remote Similarity NPC34390
0.6628 Remote Similarity NPC484202
0.6591 Remote Similarity NPC103534
0.6591 Remote Similarity NPC44899
0.6591 Remote Similarity NPC304260
0.6591 Remote Similarity NPC29639
0.6512 Remote Similarity NPC180079
0.6429 Remote Similarity NPC471633
0.6395 Remote Similarity NPC199428
0.6395 Remote Similarity NPC109448
0.6395 Remote Similarity NPC310341
0.625 Remote Similarity NPC93883
0.6092 Remote Similarity NPC477580
0.6064 Remote Similarity NPC55532
0.6047 Remote Similarity NPC99620
0.6026 Remote Similarity NPC160583
0.5955 Remote Similarity NPC484212
0.5955 Remote Similarity NPC290693
0.5934 Remote Similarity NPC72260
0.5851 Remote Similarity NPC603096
0.5778 Remote Similarity NPC250556
0.573 Remote Similarity NPC5311
0.5714 Remote Similarity NPC305574
0.5588 Remote Similarity NPC475419
0.5567 Remote Similarity NPC486143
0.5567 Remote Similarity NPC486142
0.5567 Remote Similarity NPC486149
0.5556 Remote Similarity NPC469750
0.5545 Remote Similarity NPC329636
0.5495 Remote Similarity NPC76572
0.5495 Remote Similarity NPC193382
0.5484 Remote Similarity NPC268326
0.5484 Remote Similarity NPC153085
0.5455 Remote Similarity NPC329986
0.5455 Remote Similarity NPC140092
0.5455 Remote Similarity NPC486146
0.5437 Remote Similarity NPC120390
0.5437 Remote Similarity NPC74259
0.5385 Remote Similarity NPC479356
0.5385 Remote Similarity NPC479355
0.5385 Remote Similarity NPC474908
0.5377 Remote Similarity NPC474423
0.5368 Remote Similarity NPC173555
0.5333 Remote Similarity NPC473852
0.5312 Remote Similarity NPC30483
0.5312 Remote Similarity NPC470897
0.5275 Remote Similarity NPC486129
0.5258 Remote Similarity NPC236973
0.5258 Remote Similarity NPC115349
0.5258 Remote Similarity NPC292467
0.5243 Remote Similarity NPC486144
0.5243 Remote Similarity NPC486145
0.5243 Remote Similarity NPC486147
0.5243 Remote Similarity NPC486148
0.5217 Remote Similarity NPC486126
0.5217 Remote Similarity NPC77299
0.5217 Remote Similarity NPC480906
0.5213 Remote Similarity NPC179412
0.5213 Remote Similarity NPC471356
0.5161 Remote Similarity NPC480914
0.5109 Remote Similarity NPC196429
0.51 Remote Similarity NPC486135
0.51 Remote Similarity NPC486137
0.5096 Remote Similarity NPC475590
0.5094 Remote Similarity NPC486134
0.5094 Remote Similarity NPC486141
0.5055 Remote Similarity NPC474418
0.5054 Remote Similarity NPC6108
0.5054 Remote Similarity NPC89514
0.5054 Remote Similarity NPC480915
0.5054 Remote Similarity NPC484210
0.5053 Remote Similarity NPC471353
0.5052 Remote Similarity NPC488935
0.5052 Remote Similarity NPC5883
0.5052 Remote Similarity NPC488936
0.5051 Remote Similarity NPC240070
0.505 Remote Similarity NPC232785
0.505 Remote Similarity NPC486139

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC90945 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
0.6778 Remote Similarity NPD8377 Phase 4
0.617 Remote Similarity NPD8378 Pre-clinical
0.617 Remote Similarity NPD8379 Approved
0.6067 Remote Similarity NPD7516 Pre-clinical
0.5934 Remote Similarity NPD8294 Phase 4
0.5778 Remote Similarity NPD7507 Pre-clinical
0.5604 Remote Similarity NPD8335 Phase 4
0.5368 Remote Similarity NPD8296 Phase 4
0.5213 Remote Similarity NPD8380 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