Natural Product: NPC476008

Natural Product IDNPC476008
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Sergeolide
IUPAC Name n.a.
Synonyms Sergeolide; Sergiolide
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL521373
PubChem CID 44575805
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0002119] Quassinoids

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 ZZKFDOQILIXHHH-UAXMYPJESA-N
Standard InCHI InChI=1S/C25H28O11/c1-9-11-5-15(27)35-13(11)7-23(3)12(9)6-14-24-8-33-25(22(31)32-4,20(29)16(28)18(23)24)19(24)17(21(30)36-14)34-10(2)26/h5,7,9,12,14,16-20,28-29H,6,8H2,1-4H3/t9-,12+,14-,16-,17-,18-,19-,20+,23+,24-,25-/m1/s1
SMILES C[C@@H]1C2=CC(=O)OC2=C[C@@]2(C)[C@H]1C[C@@H]1[C@]34CO[C@]([C@@H]4[C@H](C(=O)O1)OC(=O)C)([C@H]([C@@H]([C@H]23)O)O)C(=O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   504.16 Volume:   470.491
?
Van der Waals volume.
Dense:   1.072 LogP:   1.02
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.536
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.492
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   31.0
TPSA:   154.89
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.379 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.724 Fsp3:   0.68
MCE-18:   148.381
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.56 Fluc inhibitor:   0.035
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.239
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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:   0.087 Promiscuous compounds:   0.591

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.71 MDCK Permeability:   -5.121
Pgp-inhibitor:   0.159 Pgp-substrate:   0.681
PAMPA:   0.807
?
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):   0.025
20% Bioavailability (F20%):   0.728 30% Bioavailability (F30%):   0.975
50% Bioavailability (F50%):   0.953

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.942
Plasma Protein Binding (PPB):   61.038% Volume Distribution (VD):   -0.205
Fu: 38.211%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.001
BSEP inhibitor:   0.342

ADMET: Metabolism

CYP1A2-inhibitor:   0.035 CYP1A2-substrate:   0.015
CYP2C19-inhibitor:   0.146 CYP2C19-substrate:   0.253
CYP2C9-inhibitor:   0.022 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.517
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.888
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.954
?
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):  3.59 Half-life (T1/2):  2.696

ADMET: Toxicity

hERG Blockers:  0.012 hERG Blockers (10um):  0.096
Human Hepatotoxicity (H-HT):  0.71 Drug-induced Liver Injury (DILI):  0.967
AMES Toxicity:  0.842 Rat Oral Acute Toxicity:  0.793
Maximum Recommended Daily Dose:  0.788 Skin Sensitization:  1.0
Carcinogencity:  0.413 Eye Corrosion:  0.002
Eye Irritation:  0.542 Respiratory Toxicity:  0.559
Drug-induced Neurotoxicity:  0.688 Ototoxicity:  0.433
Hematotoxicity:  0.487 Drug-induced Nephrotoxicity:  0.941
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.23
A549 Cytotoxicity:  0.215 Hek293 Cytotoxicity:  0.407
BCF:   0.584
?
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:   3.395
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.065
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.446
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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
NPO33214 cedronia granatensis Species n.a. n.a. n.a. n.a. n.a. PMID[1517739]
NPO4057 Picrolemma pseudocoffea Species n.a. n.a. n.a. n.a. n.a. PMID[6533270]
NPO4057 Picrolemma pseudocoffea Species n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO4057 Picrolemma pseudocoffea Species n.a. n.a. 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
NPT168 Cell line P388 Mus musculus T/C = 169.0 % PMID[6533270]
NPT165 Cell line HeLa Homo sapiens IC50 < 1000.0 nM PMID[10869203]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. GI50 = 3.8 nM PMID[19199792]

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 NPC476008 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
0.641 Remote Similarity NPC479018
0.6203 Remote Similarity NPC89929
0.6049 Remote Similarity NPC146432
0.6049 Remote Similarity NPC470778
0.6026 Remote Similarity NPC213084
0.6024 Remote Similarity NPC480785
0.5952 Remote Similarity NPC94509
0.5934 Remote Similarity NPC190065
0.5909 Remote Similarity NPC475636
0.5833 Remote Similarity NPC480787
0.5833 Remote Similarity NPC480784
0.5823 Remote Similarity NPC470776
0.5823 Remote Similarity NPC17772
0.5806 Remote Similarity NPC141215
0.5747 Remote Similarity NPC480786
0.5747 Remote Similarity NPC470779
0.5745 Remote Similarity NPC479019
0.5684 Remote Similarity NPC295885
0.567 Remote Similarity NPC471089
0.5652 Remote Similarity NPC602216
0.5625 Remote Similarity NPC140045
0.5595 Remote Similarity NPC18945
0.5595 Remote Similarity NPC152301
0.5595 Remote Similarity NPC480783
0.5556 Remote Similarity NPC143268
0.5529 Remote Similarity NPC190185
0.5521 Remote Similarity NPC54614
0.5465 Remote Similarity NPC67251
0.5455 Remote Similarity NPC480777
0.5422 Remote Similarity NPC485623
0.5402 Remote Similarity NPC479017
0.5402 Remote Similarity NPC265557
0.5366 Remote Similarity NPC470777
0.5361 Remote Similarity NPC480779
0.5341 Remote Similarity NPC476729
0.5333 Remote Similarity NPC105926
0.53 Remote Similarity NPC480778
0.5294 Remote Similarity NPC24651
0.5263 Remote Similarity NPC309096
0.5238 Remote Similarity NPC323821
0.5176 Remote Similarity NPC16081

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC476008 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