Natural Product: NPC243950

Natural Product IDNPC243950
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XGTCGDUVXWLURC-DDQIWDDQSA-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:0003909] Fatty Acyls
        • [CHEMONTID:0000262] Fatty acids and conjugates
          • [CHEMONTID:0002949] Long-chain fatty acids

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 XGTCGDUVXWLURC-DDQIWDDQSA-N
Standard InCHI InChI=1S/C20H30O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20(21)22/h3-4,6-7,11-16H,2,5,8-10,17-19H2,1H3,(H,21,22)/b4-3-,7-6-,12-11+,14-13-,16-15+
SMILES CC/C=CC/C=CCCC/C=C/C=CC=CCCCC(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   302.22 Volume:   356.238
?
Van der Waals volume.
Dense:   0.848 LogP:   5.91
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.572
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.971
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   6.0
TPSA:   37.3
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   0.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.258 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.047 Fsp3:   0.45
MCE-18:   0.0
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.212 Fluc inhibitor:   0.354
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.058
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.994 Promiscuous compounds:   0.376

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.156 MDCK Permeability:   -4.943
Pgp-inhibitor:   0.031 Pgp-substrate:   0.001
PAMPA:   0.051
?
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):   0.008
20% Bioavailability (F20%):   0.18 30% Bioavailability (F30%):   0.662
50% Bioavailability (F50%):   0.778

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.992
Plasma Protein Binding (PPB):   96.758% Volume Distribution (VD):   -0.726
Fu: 3.146%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.022
OATP1B3 inhibitor:   0.348 BCRP inhibitor:   0.026
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.012 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.567 CYP2C19-substrate:   0.003
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.901 CYP2D6-substrate:   0.012
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.839
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.024
?
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):  6.947 Half-life (T1/2):  0.371

ADMET: Toxicity

hERG Blockers:  0.142 hERG Blockers (10um):  0.194
Human Hepatotoxicity (H-HT):  0.236 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.924 Rat Oral Acute Toxicity:  0.063
Maximum Recommended Daily Dose:  0.13 Skin Sensitization:  1.0
Carcinogencity:  0.033 Eye Corrosion:  0.999
Eye Irritation:  0.999 Respiratory Toxicity:  0.978
Drug-induced Neurotoxicity:  0.023 Ototoxicity:  0.358
Hematotoxicity:  0.001 Drug-induced Nephrotoxicity:  0.477
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.023
A549 Cytotoxicity:  0.014 Hek293 Cytotoxicity:  0.015
BCF:   1.204
?
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:   4.158
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.481
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.194
?
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
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[19053511]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[22372956]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[27588583]
NPO2989 Atalantia monophylla Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[28140592]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. PMID[30724564]
NPO2989 Atalantia monophylla Species Rutaceae Eukaryota Seeds n.a. n.a. PMID[31390210]
NPO2989 Atalantia monophylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2989 Atalantia monophylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2989 Atalantia monophylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO21178 Chloranthus serratus Species Chloranthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2989 Atalantia monophylla Species Rutaceae 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 NPC243950 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
0.7812 Intermediate Similarity NPC117572
0.7647 Intermediate Similarity NPC70387
0.7429 Intermediate Similarity NPC52955
0.7429 Intermediate Similarity NPC88966
0.7429 Intermediate Similarity NPC25417
0.7429 Intermediate Similarity NPC1813
0.7353 Intermediate Similarity NPC149821
0.7143 Intermediate Similarity NPC91495
0.6944 Remote Similarity NPC59051
0.6667 Remote Similarity NPC321062
0.6486 Remote Similarity NPC154245
0.6486 Remote Similarity NPC85813
0.6486 Remote Similarity NPC223697
0.6486 Remote Similarity NPC6095
0.6216 Remote Similarity NPC5413
0.5946 Remote Similarity NPC95145
0.5946 Remote Similarity NPC325642
0.5946 Remote Similarity NPC207292
0.5946 Remote Similarity NPC65174
0.587 Remote Similarity NPC322461
0.5833 Remote Similarity NPC281245
0.5789 Remote Similarity NPC48162
0.5778 Remote Similarity NPC325977
0.5778 Remote Similarity NPC327112
0.5745 Remote Similarity NPC605544
0.5745 Remote Similarity NPC607260
0.5682 Remote Similarity NPC323597
0.5682 Remote Similarity NPC211752
0.5682 Remote Similarity NPC323498
0.5676 Remote Similarity NPC424
0.5676 Remote Similarity NPC36061
0.5676 Remote Similarity NPC69510
0.5676 Remote Similarity NPC77272
0.5676 Remote Similarity NPC290563
0.5676 Remote Similarity NPC139029
0.5676 Remote Similarity NPC281972
0.5676 Remote Similarity NPC261831
0.5676 Remote Similarity NPC87564
0.5652 Remote Similarity NPC328311
0.5625 Remote Similarity NPC329249
0.5476 Remote Similarity NPC323436
0.5476 Remote Similarity NPC327388
0.5435 Remote Similarity NPC320642
0.5435 Remote Similarity NPC329550
0.5319 Remote Similarity NPC323045
0.5319 Remote Similarity NPC317881
0.5306 Remote Similarity NPC92558
0.5278 Remote Similarity NPC270796
0.5263 Remote Similarity NPC92114
0.5217 Remote Similarity NPC320305
0.5217 Remote Similarity NPC321838
0.5116 Remote Similarity NPC322002
0.5116 Remote Similarity NPC284212

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC243950 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
0.7812 Intermediate Similarity NPD4222 Phase 3
0.7429 Intermediate Similarity NPD3172 Approved
0.6667 Remote Similarity NPD39 Phase 4
0.6486 Remote Similarity NPD4266 Phase 2
0.6216 Remote Similarity NPD3173 Phase 4
0.5778 Remote Similarity NPD4246 Phase 2
0.5676 Remote Similarity NPD3195 Phase 2
0.5676 Remote Similarity NPD3196 Approved
0.5278 Remote Similarity NPD5326 Phase 3

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