Natural Product: NPC190360

Natural Product IDNPC190360
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NXFZOPWISUHFDD-VRVFRTJPSA-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: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 NXFZOPWISUHFDD-VRVFRTJPSA-N
Standard InCHI InChI=1S/C30H48O4/c1-25(2)16-22(33)27(4)14-15-29(6)18(23(27)24(25)34)8-9-20-26(3)12-11-21(32)28(5,17-31)19(26)10-13-30(20,29)7/h8,19-23,31-33H,9-17H2,1-7H3/t19-,20-,21+,22-,23-,26+,27+,28-,29-,30-/m1/s1
SMILES CC1(C)C[C@H]([C@]2(C)CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)CC[C@@H]([C@](C)(CO)[C@@H]5CC[C@@]34C)O)[C@@H]2C1=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   514.542
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Van der Waals volume.
Dense:   0.918 LogP:   3.734
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.596
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.242
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   27.0
TPSA:   77.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.453 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.068 Fsp3:   0.9
MCE-18:   106.667
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.691 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.065
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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:   0.339 Promiscuous compounds:   0.199

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.358 MDCK Permeability:   -5.037
Pgp-inhibitor:   0.598 Pgp-substrate:   0.073
PAMPA:   0.966
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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):   0.001
20% Bioavailability (F20%):   0.978 30% Bioavailability (F30%):   0.405
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.988 MRP1:   0.994
Plasma Protein Binding (PPB):   85.164% Volume Distribution (VD):   -0.101
Fu: 13.588%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.847 BCRP inhibitor:   0.286
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.127 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.852 CYP2C19-substrate:   0.069
CYP2C9-inhibitor:   0.508 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   0.426 CYP3A4-substrate:   0.004
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.468
HLM stability:   0.392
?
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):  11.216 Half-life (T1/2):  0.914

ADMET: Toxicity

hERG Blockers:  0.014 hERG Blockers (10um):  0.128
Human Hepatotoxicity (H-HT):  0.559 Drug-induced Liver Injury (DILI):  0.16
AMES Toxicity:  0.363 Rat Oral Acute Toxicity:  0.612
Maximum Recommended Daily Dose:  0.559 Skin Sensitization:  0.994
Carcinogencity:  0.981 Eye Corrosion:  0.006
Eye Irritation:  0.563 Respiratory Toxicity:  0.705
Drug-induced Neurotoxicity:  0.105 Ototoxicity:  0.583
Hematotoxicity:  0.546 Drug-induced Nephrotoxicity:  0.893
Genotoxicity:  0.962 RPMI-8226 Immunitoxicity:  0.091
A549 Cytotoxicity:  0.599 Hek293 Cytotoxicity:  0.578
BCF:   1.045
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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:   3.538
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.231
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.476
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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
NPO28164 Knema laurina Species Myristicaceae Eukaryota stem bark n.a. n.a. PMID[21641207]
NPO28164 Knema laurina Species Myristicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28484 Dalbergia ferruginea Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28484 Dalbergia ferruginea Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28164 Knema laurina Species Myristicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28484 Dalbergia ferruginea Species Fabaceae 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 NPC190360 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
0.6667 Remote Similarity NPC230295
0.6667 Remote Similarity NPC98386
0.6029 Remote Similarity NPC213412
0.5846 Remote Similarity NPC196753
0.5441 Remote Similarity NPC253402
0.5333 Remote Similarity NPC116457
0.5278 Remote Similarity NPC270768
0.5278 Remote Similarity NPC59263
0.5278 Remote Similarity NPC210106
0.5278 Remote Similarity NPC229281
0.5278 Remote Similarity NPC121798
0.5278 Remote Similarity NPC234346
0.527 Remote Similarity NPC263393
0.527 Remote Similarity NPC191412
0.527 Remote Similarity NPC114159
0.527 Remote Similarity NPC6818
0.5205 Remote Similarity NPC61543
0.5205 Remote Similarity NPC293048
0.5205 Remote Similarity NPC225585
0.52 Remote Similarity NPC127689
0.52 Remote Similarity NPC130520

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC190360 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
0.5493 Remote Similarity NPD7645 Phase 2

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