Natural Product: NPC486559

Natural Product IDNPC486559
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PHUYHZVUYBGTQF-PUZDGFOXSA-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:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0002875] Tigliane and ingenane diterpenoids
            • [CHEMONTID:0002906] Phorbol esters

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 PHUYHZVUYBGTQF-PUZDGFOXSA-N
Standard InCHI InChI=1S/C35H46O9/c1-6-7-8-9-13-16-25(37)44-35-28(32(35,4)5)26-27(38)23(19-36)18-33(41)24(17-20(2)29(33)39)34(26,42)21(3)30(35)43-31(40)22-14-11-10-12-15-22/h10-12,14-15,17-18,21,24,26-28,30,36,38,41-42H,6-9,13,16,19H2,1-5H3/t21-,24-,26+,27+,28-,30-,33-,34+,35-/m1/s1
SMILES CCCCCCCC(=O)O[C@]12[C@H]([C@@H]3[C@H](C(=C[C@]4([C@@H](C=C(C)C4=O)[C@]3([C@H](C)[C@H]1OC(=O)c1ccccc1)O)O)CO)O)C2(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   610.31 Volume:   629.154
?
Van der Waals volume.
Dense:   0.97 LogP:   3.669
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.616
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.861
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The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   27.0
TPSA:   150.59
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.177 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.166 Fsp3:   0.629
MCE-18:   130.684
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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:   0.52 Fluc inhibitor:   0.033
?
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:   0.06 Promiscuous compounds:   0.235

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.218 MDCK Permeability:   -4.934
Pgp-inhibitor:   0.224 Pgp-substrate:   0.993
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):   0.015
20% Bioavailability (F20%):   0.997 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.992
Plasma Protein Binding (PPB):   91.908% Volume Distribution (VD):   -0.135
Fu: 8.345%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.963
OATP1B3 inhibitor:   0.864 BCRP inhibitor:   0.001
BSEP inhibitor:   0.708

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.83
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.017
CYP2C9-inhibitor:   0.44 CYP2C9-substrate:   0.051
CYP2D6-inhibitor:   0.127 CYP2D6-substrate:   0.108
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.993
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.527
?
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):  4.972 Half-life (T1/2):  1.186

ADMET: Toxicity

hERG Blockers:  0.083 hERG Blockers (10um):  0.442
Human Hepatotoxicity (H-HT):  0.306 Drug-induced Liver Injury (DILI):  0.787
AMES Toxicity:  0.175 Rat Oral Acute Toxicity:  0.068
Maximum Recommended Daily Dose:  0.068 Skin Sensitization:  0.989
Carcinogencity:  0.504 Eye Corrosion:  0.006
Eye Irritation:  0.664 Respiratory Toxicity:  0.297
Drug-induced Neurotoxicity:  0.077 Ototoxicity:  0.622
Hematotoxicity:  0.233 Drug-induced Nephrotoxicity:  0.794
Genotoxicity:  0.021 RPMI-8226 Immunitoxicity:  0.066
A549 Cytotoxicity:  0.518 Hek293 Cytotoxicity:  0.226
BCF:   0.568
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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:   3.817
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.684
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.653
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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
NPO40396 Wikstroemia scytophylla Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[33172265]

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
NPT25 Cell line MT4 Homo sapiens CC50 > 164.0 nM PMID[33172265]
NPT25 Cell line MT4 Homo sapiens CC50 > 41.0 nM PMID[34445872]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 IC50 > 164.0 nM PMID[33172265]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 IC50 > 41.0 nM PMID[34445872]

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 NPC486559 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
0.7778 Intermediate Similarity NPC486562
0.75 Intermediate Similarity NPC145649
0.75 Intermediate Similarity NPC233581
0.7262 Intermediate Similarity NPC11410
0.7262 Intermediate Similarity NPC600144
0.6941 Remote Similarity NPC138641
0.6941 Remote Similarity NPC611243
0.6374 Remote Similarity NPC600480
0.6196 Remote Similarity NPC283875
0.6196 Remote Similarity NPC603807
0.6087 Remote Similarity NPC601559
0.5978 Remote Similarity NPC601392
0.5889 Remote Similarity NPC469647
0.5889 Remote Similarity NPC469648
0.587 Remote Similarity NPC486560
0.5778 Remote Similarity NPC472398
0.5778 Remote Similarity NPC600915
0.5765 Remote Similarity NPC486561
0.5684 Remote Similarity NPC22571
0.5682 Remote Similarity NPC607335
0.5682 Remote Similarity NPC610849
0.5402 Remote Similarity NPC19464
0.5393 Remote Similarity NPC132652
0.5208 Remote Similarity NPC609007
0.5054 Remote Similarity NPC481523

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC486559 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
NPD

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