Natural Product: NPC260365

Natural Product IDNPC260365
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MKAWBADWUNBVAW-PGJQYQLYSA-N
IUPAC Name n.a.
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 MKAWBADWUNBVAW-PGJQYQLYSA-N
Standard InCHI InChI=1S/C30H46O8/c1-16-27(33)23(35-4)14-26(37-16)38-19-7-9-28(2)18(12-19)5-6-21-20(28)8-10-29(3)22(13-24(31)30(21,29)34)17-11-25(32)36-15-17/h11,16,18-24,26-27,31,33-34H,5-10,12-15H2,1-4H3/t16-,18+,19+,20+,21-,22-,23-,24+,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]2CC[C@]2(C)[C@H](C[C@@H]([C@]32O)O)C2=CC(=O)OC2)C1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   534.32 Volume:   541.146
?
Van der Waals volume.
Dense:   0.987 LogP:   2.805
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.086
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.186
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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:   5.293 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:   0.762 Fluc inhibitor:   0.011
?
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:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.17 Promiscuous compounds:   0.617

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.454 MDCK Permeability:   -5.146
Pgp-inhibitor:   0.036 Pgp-substrate:   0.196
PAMPA:   0.951
?
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):   0.001
20% Bioavailability (F20%):   0.128 30% Bioavailability (F30%):   0.103
50% Bioavailability (F50%):   0.848

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.034 MRP1:   0.798
Plasma Protein Binding (PPB):   68.089% Volume Distribution (VD):   -0.129
Fu: 36.169%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.988 BCRP inhibitor:   0.025
BSEP inhibitor:   0.887

ADMET: Metabolism

CYP1A2-inhibitor:   0.01 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.046 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.708 CYP3A4-substrate:   0.895
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.178
HLM stability:   0.1
?
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):  5.344 Half-life (T1/2):  2.366

ADMET: Toxicity

hERG Blockers:  0.063 hERG Blockers (10um):  0.526
Human Hepatotoxicity (H-HT):  0.542 Drug-induced Liver Injury (DILI):  0.972
AMES Toxicity:  0.989 Rat Oral Acute Toxicity:  0.998
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  1.0
Carcinogencity:  0.945 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  1.0
Drug-induced Neurotoxicity:  0.053 Ototoxicity:  0.74
Hematotoxicity:  0.958 Drug-induced Nephrotoxicity:  0.993
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.877
A549 Cytotoxicity:  0.982 Hek293 Cytotoxicity:  0.983
BCF:   1.258
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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:   3.754
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.162
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.57
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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
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12987 Rhododendron farrerae Species Ericaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14048 Cryptotaenia japonica Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24652 Toxicodendron succedaneum Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12987 Rhododendron farrerae Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18054 Curvularia coicis Species Pleosporaceae 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 NPC260365 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
0.7975 Intermediate Similarity NPC84949
0.7975 Intermediate Similarity NPC480562
0.7975 Intermediate Similarity NPC74945
0.7975 Intermediate Similarity NPC31354
0.7975 Intermediate Similarity NPC69576
0.7625 Intermediate Similarity NPC99080
0.7294 Intermediate Similarity NPC103534
0.7294 Intermediate Similarity NPC44899
0.7294 Intermediate Similarity NPC304260
0.7294 Intermediate Similarity NPC29639
0.6744 Remote Similarity NPC483822
0.6512 Remote Similarity NPC152615
0.6364 Remote Similarity NPC484202
0.6353 Remote Similarity NPC471633
0.6207 Remote Similarity NPC34390
0.618 Remote Similarity NPC93883
0.6136 Remote Similarity NPC199428
0.6136 Remote Similarity NPC109448
0.6136 Remote Similarity NPC310341
0.6067 Remote Similarity NPC180079
0.6067 Remote Similarity NPC290693
0.6023 Remote Similarity NPC477580
0.587 Remote Similarity NPC72260
0.5843 Remote Similarity NPC479356
0.5843 Remote Similarity NPC479355
0.5833 Remote Similarity NPC55532
0.5823 Remote Similarity NPC186668
0.5795 Remote Similarity NPC99620
0.5714 Remote Similarity NPC484212
0.5638 Remote Similarity NPC488935
0.5638 Remote Similarity NPC5883
0.5638 Remote Similarity NPC488936
0.5591 Remote Similarity NPC193893
0.5495 Remote Similarity NPC5311
0.5474 Remote Similarity NPC173555
0.5464 Remote Similarity NPC603096
0.5426 Remote Similarity NPC268326
0.5426 Remote Similarity NPC153085
0.54 Remote Similarity NPC486146
0.5385 Remote Similarity NPC475419
0.5361 Remote Similarity NPC115349
0.5354 Remote Similarity NPC486143
0.5354 Remote Similarity NPC486142
0.5354 Remote Similarity NPC486149
0.5301 Remote Similarity NPC480911
0.5238 Remote Similarity NPC120390
0.5238 Remote Similarity NPC74259
0.5213 Remote Similarity NPC250556
0.5192 Remote Similarity NPC329636
0.5189 Remote Similarity NPC474908
0.5185 Remote Similarity NPC474423
0.5158 Remote Similarity NPC305574
0.5102 Remote Similarity NPC30483
0.5102 Remote Similarity NPC470897
0.51 Remote Similarity NPC231518
0.51 Remote Similarity NPC488944
0.5054 Remote Similarity NPC481208
0.5051 Remote Similarity NPC236973
0.5051 Remote Similarity NPC292467
0.5048 Remote Similarity NPC486144
0.5048 Remote Similarity NPC486145
0.5048 Remote Similarity NPC486147
0.5048 Remote Similarity NPC486148
0.5047 Remote Similarity NPC486134
0.5047 Remote Similarity NPC486141

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC260365 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
0.6703 Remote Similarity NPD8377 Phase 4
0.6277 Remote Similarity NPD8378 Pre-clinical
0.6277 Remote Similarity NPD8379 Approved
0.587 Remote Similarity NPD8294 Phase 4
0.5543 Remote Similarity NPD8335 Phase 4
0.5484 Remote Similarity NPD7516 Pre-clinical
0.5474 Remote Similarity NPD8296 Phase 4
0.5319 Remote Similarity NPD8380 Approved
0.5213 Remote Similarity NPD7507 Pre-clinical
0.51 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