Natural Product: NPC275696

Natural Product IDNPC275696
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PSBLORXWXFKGFT-WVMKKHFXSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2375783
PubChem CID 500522
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 PSBLORXWXFKGFT-WVMKKHFXSA-N
Standard InCHI InChI=1S/C34H52O8/c1-7-8-9-10-11-12-13-14-15-16-27(37)42-34-28(31(34,5)6)25-18-24(20-35)19-32(39)26(17-21(2)29(32)38)33(25,40)22(3)30(34)41-23(4)36/h17-18,22,25-26,28,30,35,39-40H,7-16,19-20H2,1-6H3/t22-,25+,26-,28-,30-,32-,33-,34-/m1/s1
SMILES CCCCCCCCCCCC(=O)O[C@]12[C@H]([C@@H]3C=C(C[C@]4([C@@H](C=C(C)C4=O)[C@]3([C@H](C)[C@H]1OC(=O)C)O)O)CO)C2(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   588.37 Volume:   619.534
?
Van der Waals volume.
Dense:   0.95 LogP:   4.642
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.109
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.801
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   21.0
TPSA:   130.36
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.156 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.967 Fsp3:   0.794
MCE-18:   79.148
?
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:   0.346 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.219 Promiscuous compounds:   0.497

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.124 MDCK Permeability:   -4.666
Pgp-inhibitor:   0.313 Pgp-substrate:   0.98
PAMPA:   0.444
?
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):   0.907
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.959
Plasma Protein Binding (PPB):   94.561% Volume Distribution (VD):   0.482
Fu: 6.339%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.989
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.019
BSEP inhibitor:   0.843

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.106
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.005
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.234
CYP3A4-inhibitor:   0.029 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.044
?
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):  4.279 Half-life (T1/2):  1.002

ADMET: Toxicity

hERG Blockers:  0.152 hERG Blockers (10um):  0.448
Human Hepatotoxicity (H-HT):  0.663 Drug-induced Liver Injury (DILI):  0.444
AMES Toxicity:  0.191 Rat Oral Acute Toxicity:  0.208
Maximum Recommended Daily Dose:  0.174 Skin Sensitization:  0.98
Carcinogencity:  0.307 Eye Corrosion:  0.063
Eye Irritation:  0.761 Respiratory Toxicity:  0.828
Drug-induced Neurotoxicity:  0.024 Ototoxicity:  0.557
Hematotoxicity:  0.568 Drug-induced Nephrotoxicity:  0.521
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.087
A549 Cytotoxicity:  0.274 Hek293 Cytotoxicity:  0.131
BCF:   1.837
?
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:   5.107
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.545
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.711
?
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
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. seed n.a. PMID[21049973]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[23701597]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[25819096]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2978 Croton tiglium Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2978 Croton tiglium Species Euphorbiaceae 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
NPT890 Cell line SNU-387 Homo sapiens IC50 > 10000.0 nM PMID[23701597]

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 NPC275696 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
1.0 High Similarity NPC255081
0.9206 High Similarity NPC5991
0.9206 High Similarity NPC196500
0.9206 High Similarity NPC471108
0.9206 High Similarity NPC5989
0.8788 High Similarity NPC22628
0.8788 High Similarity NPC600005
0.8413 Intermediate Similarity NPC171905
0.8125 Intermediate Similarity NPC472397
0.7879 Intermediate Similarity NPC472758
0.7857 Intermediate Similarity NPC484333
0.7467 Intermediate Similarity NPC138641
0.7467 Intermediate Similarity NPC611243
0.7353 Intermediate Similarity NPC157252
0.7246 Intermediate Similarity NPC471125
0.7143 Intermediate Similarity NPC145182
0.7083 Intermediate Similarity NPC243902
0.7051 Intermediate Similarity NPC479001
0.7051 Intermediate Similarity NPC479002
0.7027 Intermediate Similarity NPC145238
0.6986 Remote Similarity NPC478999
0.6957 Remote Similarity NPC485736
0.6957 Remote Similarity NPC277477
0.6957 Remote Similarity NPC479003
0.6957 Remote Similarity NPC485735
0.6944 Remote Similarity NPC471128
0.6944 Remote Similarity NPC471126
0.6883 Remote Similarity NPC482199
0.6883 Remote Similarity NPC482197
0.6806 Remote Similarity NPC488610
0.68 Remote Similarity NPC609983
0.6709 Remote Similarity NPC482198
0.6585 Remote Similarity NPC283875
0.6316 Remote Similarity NPC488611
0.6267 Remote Similarity NPC485732
0.6265 Remote Similarity NPC601559
0.6216 Remote Similarity NPC485737
0.6145 Remote Similarity NPC601392
0.6133 Remote Similarity NPC486561
0.6125 Remote Similarity NPC472398
0.6125 Remote Similarity NPC600915
0.6104 Remote Similarity NPC10721
0.6 Remote Similarity NPC22571
0.5974 Remote Similarity NPC484252
0.5942 Remote Similarity NPC153036
0.5921 Remote Similarity NPC19464
0.5854 Remote Similarity NPC469647
0.5854 Remote Similarity NPC469648
0.5823 Remote Similarity NPC607335
0.5823 Remote Similarity NPC610849
0.5765 Remote Similarity NPC601964
0.5714 Remote Similarity NPC11410
0.5714 Remote Similarity NPC600144
0.5634 Remote Similarity NPC156252
0.56 Remote Similarity NPC485733
0.5556 Remote Similarity NPC158523
0.5455 Remote Similarity NPC482454
0.5443 Remote Similarity NPC477091
0.5422 Remote Similarity NPC153651
0.5405 Remote Similarity NPC71889
0.5405 Remote Similarity NPC475937
0.5385 Remote Similarity NPC17138
0.5385 Remote Similarity NPC485734
0.5385 Remote Similarity NPC101825
0.5385 Remote Similarity NPC170212
0.5385 Remote Similarity NPC215643
0.5385 Remote Similarity NPC265499
0.5333 Remote Similarity NPC482406
0.5316 Remote Similarity NPC221511
0.5238 Remote Similarity NPC472760
0.5195 Remote Similarity NPC472757
0.5122 Remote Similarity NPC151216
0.5122 Remote Similarity NPC89227
0.5062 Remote Similarity NPC485731
0.506 Remote Similarity NPC479000
0.5059 Remote Similarity NPC600879
0.5059 Remote Similarity NPC605007
0.5057 Remote Similarity NPC486562

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC275696 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