Natural Product: NPC203596

Natural Product IDNPC203596
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FVWJYYTZTCVBKE-JRYMWQMJSA-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 FVWJYYTZTCVBKE-JRYMWQMJSA-N
Standard InCHI InChI=1S/C30H50O2/c1-19(2)20-10-15-30(18-31)17-16-28(6)21(25(20)30)8-9-23-27(5)13-12-24(32)26(3,4)22(27)11-14-29(23,28)7/h20-25,31-32H,1,8-18H2,2-7H3/t20-,21+,22-,23-,24-,25-,27+,28+,29+,30+/m0/s1
SMILES C=C(C)[C@@H]1CC[C@@]2(CC[C@]3(C)[C@H](CC[C@H]4[C@]5(C)CC[C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)[C@H]12)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   442.38 Volume:   499.598
?
Van der Waals volume.
Dense:   0.885 LogP:   4.502
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.005
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.077
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   26.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.452 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.761 Fsp3:   0.933
MCE-18:   100.793
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.854 Fluc inhibitor:   0.004
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
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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:   0.462 Promiscuous compounds:   0.321

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.84 MDCK Permeability:   -4.715
Pgp-inhibitor:   0.01 Pgp-substrate:   0.049
PAMPA:   0.111
?
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%):   0.979 30% Bioavailability (F30%):   0.756
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.992 MRP1:   0.993
Plasma Protein Binding (PPB):   90.994% Volume Distribution (VD):   -0.045
Fu: 8.62%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.951
OATP1B3 inhibitor:   0.017 BCRP inhibitor:   0.07
BSEP inhibitor:   0.784

ADMET: Metabolism

CYP1A2-inhibitor:   0.49 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.999 CYP2C19-substrate:   0.025
CYP2C9-inhibitor:   0.729 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.16 CYP2D6-substrate:   0.004
CYP3A4-inhibitor:   0.014 CYP3A4-substrate:   0.951
CYP2B6-substrate:   0.029 CYP2C8-inhibitor:   0.667
HLM stability:   0.239
?
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):  10.812 Half-life (T1/2):  0.634

ADMET: Toxicity

hERG Blockers:  0.118 hERG Blockers (10um):  0.382
Human Hepatotoxicity (H-HT):  0.621 Drug-induced Liver Injury (DILI):  0.119
AMES Toxicity:  0.355 Rat Oral Acute Toxicity:  0.481
Maximum Recommended Daily Dose:  0.591 Skin Sensitization:  0.993
Carcinogencity:  0.946 Eye Corrosion:  0.062
Eye Irritation:  0.823 Respiratory Toxicity:  0.882
Drug-induced Neurotoxicity:  0.373 Ototoxicity:  0.505
Hematotoxicity:  0.411 Drug-induced Nephrotoxicity:  0.609
Genotoxicity:  0.586 RPMI-8226 Immunitoxicity:  0.066
A549 Cytotoxicity:  0.83 Hek293 Cytotoxicity:  0.692
BCF:   2.132
?
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:   3.938
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.995
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.626
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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
NPO22129 Dracocephalum peregrinum Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[18958424]
NPO12408 Jacaranda glabra Species Bignoniaceae Eukaryota n.a. n.a. n.a. PMID[20307077]
NPO21511 Gutierrezia texana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12408 Jacaranda glabra Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22129 Dracocephalum peregrinum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21511 Gutierrezia texana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20540 Berrya mollis Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12408 Jacaranda glabra Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16151 Inga oerstediana 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 NPC203596 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 NPC231256
1.0 High Similarity NPC178383
0.88 High Similarity NPC119355
0.8571 High Similarity NPC78067
0.8571 High Similarity NPC278091
0.78 Intermediate Similarity NPC192638
0.78 Intermediate Similarity NPC25511
0.78 Intermediate Similarity NPC600137
0.7407 Intermediate Similarity NPC86305
0.7407 Intermediate Similarity NPC212879
0.7222 Intermediate Similarity NPC5767
0.7222 Intermediate Similarity NPC475742
0.7222 Intermediate Similarity NPC93662
0.7091 Intermediate Similarity NPC246956
0.7091 Intermediate Similarity NPC74595
0.7091 Intermediate Similarity NPC264665
0.7037 Intermediate Similarity NPC248830
0.7037 Intermediate Similarity NPC212241
0.7037 Intermediate Similarity NPC472742
0.6852 Remote Similarity NPC104387
0.6842 Remote Similarity NPC12774
0.6545 Remote Similarity NPC202540
0.65 Remote Similarity NPC607755
0.6491 Remote Similarity NPC201459
0.6491 Remote Similarity NPC269396
0.6333 Remote Similarity NPC5280
0.6271 Remote Similarity NPC474233
0.625 Remote Similarity NPC144075
0.625 Remote Similarity NPC301226
0.614 Remote Similarity NPC42853
0.6111 Remote Similarity NPC142712
0.6071 Remote Similarity NPC185536
0.6 Remote Similarity NPC480925
0.6 Remote Similarity NPC48079
0.5968 Remote Similarity NPC33768
0.5965 Remote Similarity NPC91573
0.5893 Remote Similarity NPC606606
0.5862 Remote Similarity NPC237460
0.5789 Remote Similarity NPC97534
0.5789 Remote Similarity NPC195155
0.5763 Remote Similarity NPC296701
0.5763 Remote Similarity NPC218616
0.5738 Remote Similarity NPC474484
0.5714 Remote Similarity NPC483720
0.569 Remote Similarity NPC245869
0.569 Remote Similarity NPC240235
0.569 Remote Similarity NPC14112
0.5658 Remote Similarity NPC478270
0.5658 Remote Similarity NPC478271
0.5645 Remote Similarity NPC175410
0.5625 Remote Similarity NPC168231
0.5556 Remote Similarity NPC264317
0.5556 Remote Similarity NPC294438
0.5556 Remote Similarity NPC232112
0.5517 Remote Similarity NPC102708
0.55 Remote Similarity NPC211009
0.5484 Remote Similarity NPC49599
0.5484 Remote Similarity NPC49627
0.5484 Remote Similarity NPC93778
0.541 Remote Similarity NPC13554
0.5397 Remote Similarity NPC474482
0.5345 Remote Similarity NPC80297
0.5345 Remote Similarity NPC475727
0.5345 Remote Similarity NPC116119
0.5323 Remote Similarity NPC298168
0.5323 Remote Similarity NPC143133
0.5323 Remote Similarity NPC126993
0.5303 Remote Similarity NPC16377
0.5172 Remote Similarity NPC35652
0.5156 Remote Similarity NPC477578
0.5156 Remote Similarity NPC477577
0.5143 Remote Similarity NPC471902
0.5119 Remote Similarity NPC478272
0.5082 Remote Similarity NPC58631
0.5082 Remote Similarity NPC285761
0.5082 Remote Similarity NPC34930
0.5082 Remote Similarity NPC99168
0.5077 Remote Similarity NPC201406
0.5077 Remote Similarity NPC289486
0.5075 Remote Similarity NPC151191

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC203596 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
0.5556 Remote Similarity NPD7520 Phase 1

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