Natural Product: NPC102002

Natural Product IDNPC102002
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NFAUACMRIYFJJD-KZHHKZRASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102003238
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 NFAUACMRIYFJJD-KZHHKZRASA-N
Standard InCHI InChI=1S/C35H56O5/c1-10-21(2)29(39)40-28-19-30(3,4)17-23-22-11-12-25-32(7)15-14-26(37)31(5,6)24(32)13-16-33(25,8)34(22,9)18-27(38)35(23,28)20-36/h10-11,23-28,36-38H,12-20H2,1-9H3/b21-10+/t23-,24-,25+,26-,27+,28-,32-,33+,34+,35-/m0/s1
SMILES C/C=C(C)/C(=O)O[C@H]1CC(C)(C)C[C@H]2C3=CC[C@@H]4[C@@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]4(C)[C@]3(C)C[C@H]([C@@]12CO)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   556.41 Volume:   607.175
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Van der Waals volume.
Dense:   0.916 LogP:   4.812
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.251
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.655
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   28.0
TPSA:   86.99
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.207 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.192 Fsp3:   0.857
MCE-18:   109.846
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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:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.719 Fluc inhibitor:   0.003
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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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:   0.35 Promiscuous compounds:   0.259

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.415 MDCK Permeability:   -5.062
Pgp-inhibitor:   0.303 Pgp-substrate:   0.851
PAMPA:   1.0
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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):   0.121
20% Bioavailability (F20%):   0.998 30% Bioavailability (F30%):   0.965
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.166 MRP1:   0.796
Plasma Protein Binding (PPB):   94.925% Volume Distribution (VD):   -0.083
Fu: 5.108%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.458 BCRP inhibitor:   0.573
BSEP inhibitor:   0.947

ADMET: Metabolism

CYP1A2-inhibitor:   0.13 CYP1A2-substrate:   0.01
CYP2C19-inhibitor:   0.786 CYP2C19-substrate:   0.969
CYP2C9-inhibitor:   0.003 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.013 CYP2D6-substrate:   0.109
CYP3A4-inhibitor:   0.011 CYP3A4-substrate:   0.177
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.715
HLM stability:   0.953
?
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):  8.611 Half-life (T1/2):  0.913

ADMET: Toxicity

hERG Blockers:  0.034 hERG Blockers (10um):  0.202
Human Hepatotoxicity (H-HT):  0.392 Drug-induced Liver Injury (DILI):  0.184
AMES Toxicity:  0.463 Rat Oral Acute Toxicity:  0.555
Maximum Recommended Daily Dose:  0.862 Skin Sensitization:  0.852
Carcinogencity:  0.837 Eye Corrosion:  0.008
Eye Irritation:  0.36 Respiratory Toxicity:  0.913
Drug-induced Neurotoxicity:  0.038 Ototoxicity:  0.603
Hematotoxicity:  0.397 Drug-induced Nephrotoxicity:  0.781
Genotoxicity:  0.744 RPMI-8226 Immunitoxicity:  0.084
A549 Cytotoxicity:  0.214 Hek293 Cytotoxicity:  0.36
BCF:   1.813
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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:   4.303
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.816
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.262
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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
NPO20274 Cynanchum formosanum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20056 Pinus monophylla Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20274 Cynanchum formosanum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20056 Pinus monophylla Species Pinaceae 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 NPC102002 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
0.7826 Intermediate Similarity NPC294360
0.7746 Intermediate Similarity NPC273668
0.7639 Intermediate Similarity NPC473160
0.7534 Intermediate Similarity NPC480921
0.726 Intermediate Similarity NPC283343
0.6842 Remote Similarity NPC480920
0.6494 Remote Similarity NPC258547
0.6486 Remote Similarity NPC480919
0.6471 Remote Similarity NPC311078
0.6377 Remote Similarity NPC253807
0.6377 Remote Similarity NPC158662
0.6364 Remote Similarity NPC88349
0.6351 Remote Similarity NPC164349
0.6234 Remote Similarity NPC475263
0.6111 Remote Similarity NPC473159
0.6081 Remote Similarity NPC488519
0.6 Remote Similarity NPC34177
0.5976 Remote Similarity NPC474190
0.5854 Remote Similarity NPC603645
0.5833 Remote Similarity NPC159168
0.5775 Remote Similarity NPC101475
0.5714 Remote Similarity NPC49776
0.5714 Remote Similarity NPC63118
0.5714 Remote Similarity NPC474436
0.5694 Remote Similarity NPC235341
0.5676 Remote Similarity NPC246708
0.5571 Remote Similarity NPC290598
0.5571 Remote Similarity NPC30590
0.5432 Remote Similarity NPC175006
0.5405 Remote Similarity NPC470588
0.5366 Remote Similarity NPC471433
0.5366 Remote Similarity NPC86368
0.5366 Remote Similarity NPC471432
0.5244 Remote Similarity NPC488518
0.5238 Remote Similarity NPC476132
0.5225 Remote Similarity NPC265841
0.52 Remote Similarity NPC238992
0.5135 Remote Similarity NPC196753
0.5133 Remote Similarity NPC484059
0.5133 Remote Similarity NPC484060
0.5133 Remote Similarity NPC476779
0.5122 Remote Similarity NPC488520
0.5067 Remote Similarity NPC480924
0.506 Remote Similarity NPC480923
0.5057 Remote Similarity NPC167383

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC102002 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
0.5658 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