Natural Product: NPC262970

Natural Product IDNPC262970
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZPBONBNZOMMCQS-FVSCCVIRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102150860
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 ZPBONBNZOMMCQS-FVSCCVIRSA-N
Standard InCHI InChI=1S/C39H54O6/c1-34(2)19-20-38(33(43)44)21-22-39(24-45-32(42)14-9-25-7-10-26(40)11-8-25)27(28(38)23-34)12-13-30-36(5)17-16-31(41)35(3,4)29(36)15-18-37(30,39)6/h7-12,14,28-31,40-41H,13,15-24H2,1-6H3,(H,43,44)/b14-9-/t28-,29-,30+,31-,36-,37+,38-,39-/m0/s1
SMILES CC1(C)CC[C@@]2(CC[C@]3(COC(=O)/C=Cc4ccc(cc4)O)C(=CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@@H]2C1)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   618.39 Volume:   666.047
?
Van der Waals volume.
Dense:   0.928 LogP:   4.645
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.92
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.46
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   35.0
TPSA:   104.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   6.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.175 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.9 Fsp3:   0.692
MCE-18:   162.273
?
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:   0.992 Fluc inhibitor:   0.824
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.022
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.037
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.145 Promiscuous compounds:   0.058

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.563 MDCK Permeability:   -5.085
Pgp-inhibitor:   0.003 Pgp-substrate:   0.001
PAMPA:   1.0
?
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):   0.003
20% Bioavailability (F20%):   0.968 30% Bioavailability (F30%):   0.366
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.023 MRP1:   0.739
Plasma Protein Binding (PPB):   97.844% Volume Distribution (VD):   -0.393
Fu: 1.41%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.001
BSEP inhibitor:   0.955

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.189 CYP2C19-substrate:   0.834
CYP2C9-inhibitor:   0.004 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   0.039 CYP3A4-substrate:   0.759
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.992
HLM stability:   0.125
?
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):  1.603 Half-life (T1/2):  1.58

ADMET: Toxicity

hERG Blockers:  0.115 hERG Blockers (10um):  0.131
Human Hepatotoxicity (H-HT):  0.699 Drug-induced Liver Injury (DILI):  0.17
AMES Toxicity:  0.336 Rat Oral Acute Toxicity:  0.226
Maximum Recommended Daily Dose:  0.759 Skin Sensitization:  0.997
Carcinogencity:  0.506 Eye Corrosion:  0.0
Eye Irritation:  0.208 Respiratory Toxicity:  0.855
Drug-induced Neurotoxicity:  0.143 Ototoxicity:  0.585
Hematotoxicity:  0.072 Drug-induced Nephrotoxicity:  0.893
Genotoxicity:  0.761 RPMI-8226 Immunitoxicity:  0.052
A549 Cytotoxicity:  0.731 Hek293 Cytotoxicity:  0.631
BCF:   1.116
?
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:   4.451
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.789
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.329
?
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
NPO12611 Lonicera korolkovii Species Caprifoliaceae Eukaryota n.a. n.a. n.a. PMID[11520235]
NPO23622 Pseudomonas putida Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[1254564]
NPO26587 Croton steenkampianus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[18855442]
NPO2035 Daphne aurantiaca Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[20192236]
NPO23622 Pseudomonas putida Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[26195800]
NPO40948 Vallaris glabra Species n.a. n.a. Leaves n.a. n.a. PMID[29072457]
NPO40948 Vallaris glabra Species n.a. n.a. Stems n.a. n.a. PMID[31820973]
NPO23622 Pseudomonas putida Species Pseudomonadaceae Bacteria n.a. n.a. n.a. PMID[8626242]
NPO23622 Pseudomonas putida Species Pseudomonadaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO12611 Lonicera korolkovii Species Caprifoliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26587 Croton steenkampianus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3376 Eriostemon brucei Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10807 Melanothamnus somalensis Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2644 Portulaca pilosa Species Portulacaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2644 Portulaca pilosa Species Portulacaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23622 Pseudomonas putida Species Pseudomonadaceae Bacteria n.a. n.a. n.a. Database[MetaboLights]
NPO2644 Portulaca pilosa Species Portulacaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7106 Talaromyces helicus Species Trichocomaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3376 Eriostemon brucei Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18675 Pteris aquilina Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11305 Garcinia cantleyana Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12611 Lonicera korolkovii Species Caprifoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10967 Parmelia gigas Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6430 Cercosporina kikuchii n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO23622 Pseudomonas putida Species Pseudomonadaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO10807 Melanothamnus somalensis Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11827 Zerynthia polyxena Species Papilionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26587 Croton steenkampianus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2035 Daphne aurantiaca Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2644 Portulaca pilosa Species Portulacaceae 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
NPT139 Cell line HT-29 Homo sapiens IC50 = 600.0 nM PMID[31820973]

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 NPC262970 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
0.8556 High Similarity NPC206232
0.8556 High Similarity NPC14515
0.8182 Intermediate Similarity NPC198621
0.8182 Intermediate Similarity NPC216940
0.809 Intermediate Similarity NPC54627
0.809 Intermediate Similarity NPC249817
0.734 Intermediate Similarity NPC475482
0.7234 Intermediate Similarity NPC606782
0.7065 Intermediate Similarity NPC475627
0.697 Remote Similarity NPC310729
0.697 Remote Similarity NPC150310
0.6765 Remote Similarity NPC53520
0.6429 Remote Similarity NPC605663
0.6392 Remote Similarity NPC22676
0.6238 Remote Similarity NPC475311
0.62 Remote Similarity NPC132126
0.598 Remote Similarity NPC479747
0.598 Remote Similarity NPC479746
0.598 Remote Similarity NPC482049
0.598 Remote Similarity NPC482050
0.5918 Remote Similarity NPC18982
0.59 Remote Similarity NPC488215
0.5882 Remote Similarity NPC480946
0.5882 Remote Similarity NPC130577
0.5882 Remote Similarity NPC142415
0.5882 Remote Similarity NPC102683
0.5882 Remote Similarity NPC198664
0.581 Remote Similarity NPC479740
0.581 Remote Similarity NPC479741
0.58 Remote Similarity NPC475457
0.5644 Remote Similarity NPC271494
0.5556 Remote Similarity NPC601567
0.5556 Remote Similarity NPC606631
0.549 Remote Similarity NPC171007
0.549 Remote Similarity NPC190849
0.5472 Remote Similarity NPC610795
0.5376 Remote Similarity NPC474727
0.537 Remote Similarity NPC473680
0.5333 Remote Similarity NPC172311
0.5333 Remote Similarity NPC479744
0.5333 Remote Similarity NPC482052
0.5283 Remote Similarity NPC304110
0.5283 Remote Similarity NPC25491
0.5283 Remote Similarity NPC27518
0.5283 Remote Similarity NPC611516
0.5234 Remote Similarity NPC479739
0.5234 Remote Similarity NPC178093
0.5196 Remote Similarity NPC43353
0.5185 Remote Similarity NPC473773
0.5185 Remote Similarity NPC475579
0.5185 Remote Similarity NPC324798
0.5185 Remote Similarity NPC479742
0.5165 Remote Similarity NPC228784
0.5165 Remote Similarity NPC324341
0.5165 Remote Similarity NPC298554
0.5165 Remote Similarity NPC29765
0.5165 Remote Similarity NPC601810
0.5149 Remote Similarity NPC478270
0.5149 Remote Similarity NPC478271
0.5138 Remote Similarity NPC475454
0.5138 Remote Similarity NPC473579
0.5111 Remote Similarity NPC270768
0.5111 Remote Similarity NPC59263
0.5111 Remote Similarity NPC182797
0.5111 Remote Similarity NPC210106
0.5111 Remote Similarity NPC52169
0.5111 Remote Similarity NPC488562
0.5048 Remote Similarity NPC486700
0.5048 Remote Similarity NPC275312
0.5047 Remote Similarity NPC488214

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC262970 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
0.7234 Intermediate Similarity NPD8166 Discontinued

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