Natural Product: NPC114333

Natural Product IDNPC114333
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Oblongifolin B
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL505370
PubChem CID NA
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids

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 KRJWRFOMKSOZGO-KMIQQCGBSA-N
Standard InCHI InChI=1S/C38H50O6/c1-23(2)11-10-12-26(7)13-15-28-22-37(19-17-24(3)4)33(42)31(32(41)27-14-16-29(39)30(40)21-27)34(43)38(35(37)44,36(28,8)9)20-18-25(5)6/h11,13-14,16-18,21,28,39-40,42H,10,12,15,19-20,22H2,1-9H3/b26-13+/t28-,37+,38-/m1/s1
SMILES CC(=CCC/C(=C/C[C@@H]1C[C@@]2(CC=C(C)C)C(=C(C(=O)c3ccc(c(c3)O)O)C(=O)[C@](CC=C(C)C)(C2=O)C1(C)C)O)/C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   602.36 Volume:   663.875
?
Van der Waals volume.
Dense:   0.907 LogP:   7.118
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.093
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.461
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   23.0
TPSA:   111.9
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   3.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.077 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.371 Fsp3:   0.5
MCE-18:   98.439
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.997 Fluc inhibitor:   0.129
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.068
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.585
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.627 Promiscuous compounds:   0.219

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.821 MDCK Permeability:   -4.685
Pgp-inhibitor:   0.015 Pgp-substrate:   0.0
PAMPA:   0.952
?
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):   0.0
20% Bioavailability (F20%):   0.026 30% Bioavailability (F30%):   0.004
50% Bioavailability (F50%):   0.959

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.994
Plasma Protein Binding (PPB):   88.726% Volume Distribution (VD):   0.101
Fu: 14.032%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.678 BCRP inhibitor:   0.0
BSEP inhibitor:   0.04

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.997
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.353
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.008
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   0.131 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.985
HLM stability:   1.0
?
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):  6.271 Half-life (T1/2):  1.156

ADMET: Toxicity

hERG Blockers:  0.021 hERG Blockers (10um):  0.162
Human Hepatotoxicity (H-HT):  0.791 Drug-induced Liver Injury (DILI):  0.728
AMES Toxicity:  0.341 Rat Oral Acute Toxicity:  0.845
Maximum Recommended Daily Dose:  0.353 Skin Sensitization:  0.999
Carcinogencity:  0.373 Eye Corrosion:  0.0
Eye Irritation:  0.032 Respiratory Toxicity:  0.927
Drug-induced Neurotoxicity:  0.087 Ototoxicity:  0.949
Hematotoxicity:  0.7 Drug-induced Nephrotoxicity:  0.979
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.859 Hek293 Cytotoxicity:  0.281
BCF:   1.753
?
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:   5.826
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   8.075
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.924
?
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
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/0031-9422(74)80113-5]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. DOI[10.1071/CH03175]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. whole plant n.a. PMID[10361686]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[16724839]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[19113969]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[19299148]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota twigs n.a. n.a. PMID[20058933]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota leaves Bobai, Guangxi Province, China 2005-Dec PMID[24679044]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota Barks n.a. n.a. PMID[24754786]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota flowers Pakook, Muang District, Chiang Rai Province, Thailand 2013-Feb PMID[25651042]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota young fruits Khokkhon, Tha Bo District, Nong Khai Province, Thailand 2011-Aug PMID[25651042]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota Leaves n.a. n.a. PMID[31860303]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26341 Trifolium resupinatum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15242 Setosphaeria holmii Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9298 Piper wightii Species Piperaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1154 Neomeris annulata Species Dasycladaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2812 Lecanora kukunorensis Species Lecanoraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6948 Davidsoniella virescens Species Ceratocystidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10228 Ascochyta viciae Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15242 Setosphaeria holmii Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1154 Neomeris annulata Species Dasycladaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9298 Piper wightii Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26341 Trifolium resupinatum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2812 Lecanora kukunorensis Species Lecanoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6948 Davidsoniella virescens Species Ceratocystidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25472 Garcinia cowa Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10228 Ascochyta viciae Species Didymellaceae 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
NPT393 Cell line HCT-116 Homo sapiens IC50 > 20.0 ug.mL-1 PMID[32791400]
NPT515 Cell line SGC-7901 Homo sapiens IC50 > 20.0 ug.mL-1 PMID[32791400]
NPT165 Cell line HeLa Homo sapiens IC50 > 20.0 ug.mL-1 PMID[32791400]
NPT2 Others Unspecified n.a. Inhibition = 7.0 % PMID[16724839]
NPT2 Others Unspecified n.a. IC50 = 69000.0 nM PMID[16724839]

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 NPC114333 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 NPC28592
0.9844 High Similarity NPC473479
0.9844 High Similarity NPC50615
0.9844 High Similarity NPC141650
0.9538 High Similarity NPC165191
0.9538 High Similarity NPC177501
0.9385 High Similarity NPC51531
0.8594 High Similarity NPC149773
0.8551 High Similarity NPC23667
0.8551 High Similarity NPC157284
0.8169 Intermediate Similarity NPC5014
0.7639 Intermediate Similarity NPC30846
0.7571 Intermediate Similarity NPC289358
0.7571 Intermediate Similarity NPC4289
0.7571 Intermediate Similarity NPC42384
0.7465 Intermediate Similarity NPC46242
0.7465 Intermediate Similarity NPC91887
0.7465 Intermediate Similarity NPC93556
0.7403 Intermediate Similarity NPC482617
0.7403 Intermediate Similarity NPC482616
0.7397 Intermediate Similarity NPC469857
0.7397 Intermediate Similarity NPC245760
0.7361 Intermediate Similarity NPC297797
0.7333 Intermediate Similarity NPC25736
0.7051 Intermediate Similarity NPC482618
0.6974 Remote Similarity NPC471971
0.6974 Remote Similarity NPC471972
0.6974 Remote Similarity NPC469855
0.6667 Remote Similarity NPC259400
0.6667 Remote Similarity NPC130591
0.6667 Remote Similarity NPC234637
0.6623 Remote Similarity NPC482621
0.6456 Remote Similarity NPC469856
0.6447 Remote Similarity NPC198803
0.641 Remote Similarity NPC294330
0.641 Remote Similarity NPC479151
0.6375 Remote Similarity NPC471970
0.6329 Remote Similarity NPC469854
0.6329 Remote Similarity NPC603871
0.6282 Remote Similarity NPC479148
0.619 Remote Similarity NPC482620
0.6049 Remote Similarity NPC237441
0.6027 Remote Similarity NPC611064
0.6 Remote Similarity NPC473779
0.5823 Remote Similarity NPC48949
0.5783 Remote Similarity NPC479146
0.5625 Remote Similarity NPC473527
0.5176 Remote Similarity NPC482619

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC114333 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