Natural Product: NPC48949

Natural Product IDNPC48949
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Guttiferone L
IUPAC Name n.a.
Synonyms 16-Hydroxyguttiferone K
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL387644
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001549] Monoterpenoids
          • [CHEMONTID:0001564] Bicyclic monoterpenoids

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 FERVNTMHOSAJOS-HYOCDBLYSA-N
Standard InCHI InChI=1S/C38H50O7/c1-22(2)11-10-16-36(9)26(13-12-23(3)4)21-37(17-14-24(5)6)33(43)31(32(42)27-19-29(40)30(41)20-28(27)39)34(44)38(36,35(37)45)18-15-25(7)8/h11-12,14-15,19-20,26,39-41,43H,10,13,16-18,21H2,1-9H3/t26-,36+,37+,38-/m1/s1
SMILES CC(=CCC[C@@]1(C)[C@H](CC=C(C)C)C[C@@]2(CC=C(C)C)C(=C(C(=O)c3cc(c(cc3O)O)O)C(=O)[C@]1(CC=C(C)C)C2=O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   618.36 Volume:   672.665
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Van der Waals volume.
Dense:   0.919 LogP:   6.934
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.738
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.9
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   23.0
TPSA:   132.13
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.049 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.683 Fsp3:   0.5
MCE-18:   101.614
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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:   1 PAINS Alert:   1
Colloidal aggregators:   0.994 Fluc inhibitor:   0.215
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.179
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.66
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.622 Promiscuous compounds:   0.228

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.864 MDCK Permeability:   -4.671
Pgp-inhibitor:   0.0 Pgp-substrate:   0.001
PAMPA:   0.997
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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):   0.0
20% Bioavailability (F20%):   0.002 30% Bioavailability (F30%):   0.001
50% Bioavailability (F50%):   0.96

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.011 MRP1:   0.977
Plasma Protein Binding (PPB):   88.087% Volume Distribution (VD):   0.114
Fu: 13.314%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.88 BCRP inhibitor:   0.015
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.981
CYP2C19-inhibitor:   0.991 CYP2C19-substrate:   0.716
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.008
CYP2D6-inhibitor:   0.004 CYP2D6-substrate:   0.842
CYP3A4-inhibitor:   0.544 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.947
HLM stability:   1.0
?
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):  5.538 Half-life (T1/2):  1.358

ADMET: Toxicity

hERG Blockers:  0.019 hERG Blockers (10um):  0.215
Human Hepatotoxicity (H-HT):  0.742 Drug-induced Liver Injury (DILI):  0.611
AMES Toxicity:  0.377 Rat Oral Acute Toxicity:  0.684
Maximum Recommended Daily Dose:  0.181 Skin Sensitization:  0.998
Carcinogencity:  0.373 Eye Corrosion:  0.0
Eye Irritation:  0.141 Respiratory Toxicity:  0.891
Drug-induced Neurotoxicity:  0.02 Ototoxicity:  0.905
Hematotoxicity:  0.435 Drug-induced Nephrotoxicity:  0.942
Genotoxicity:  0.991 RPMI-8226 Immunitoxicity:  0.056
A549 Cytotoxicity:  0.826 Hek293 Cytotoxicity:  0.175
BCF:   1.782
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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:   5.859
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   7.905
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   7.733
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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
NPO17459 Rheedia calcicola Species Clusiaceae Eukaryota n.a. Madagascar rain forest n.a. PMID[17348706]
NPO17459 Rheedia calcicola Species Clusiaceae 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
NPT179 Cell line A2780 Homo sapiens IC50 = 3.0 ug.mL-1 PMID[21067210]

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 NPC48949 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
0.7681 Intermediate Similarity NPC289358
0.7681 Intermediate Similarity NPC4289
0.7681 Intermediate Similarity NPC42384
0.7067 Intermediate Similarity NPC5014
0.6986 Remote Similarity NPC198803
0.6933 Remote Similarity NPC23667
0.6933 Remote Similarity NPC157284
0.65 Remote Similarity NPC482618
0.6494 Remote Similarity NPC482621
0.642 Remote Similarity NPC482617
0.642 Remote Similarity NPC482616
0.6329 Remote Similarity NPC25736
0.6164 Remote Similarity NPC149773
0.5949 Remote Similarity NPC165191
0.5949 Remote Similarity NPC177501
0.5823 Remote Similarity NPC114333
0.5823 Remote Similarity NPC28592
0.5823 Remote Similarity NPC51531
0.575 Remote Similarity NPC473479
0.575 Remote Similarity NPC50615
0.575 Remote Similarity NPC141650
0.5556 Remote Similarity NPC30846
0.5405 Remote Similarity NPC259400
0.5405 Remote Similarity NPC130591
0.5405 Remote Similarity NPC234637
0.5375 Remote Similarity NPC46242
0.5375 Remote Similarity NPC91887
0.5375 Remote Similarity NPC93556
0.5309 Remote Similarity NPC297797
0.5181 Remote Similarity NPC469857
0.5181 Remote Similarity NPC245760
0.5059 Remote Similarity NPC471971
0.5059 Remote Similarity NPC471972
0.5059 Remote Similarity NPC469855

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC48949 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