Natural Product: NPC6255

Natural Product IDNPC6255
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2R,4Ar,5R,6Ar,6As,6Br,8Ar,9R,12Ar,14Bs)-5-Hydroxy-2,9-Bis(Hydroxymethyl)-2,6A,6B,9,12A-Pentamethyl-10-Oxo-3,4,5,6,6A,7,8,8A,11,12,13,14B-Dodecahydro-1H-Picene-4A-Carboxylic Acid
IUPAC Name (2R,4aR,5R,6aR,6aS,6bR,8aR,9R,12aR,14bS)-5-hydroxy-2,9-bis(hydroxymethyl)-2,6a,6b,9,12a-pentamethyl-10-oxo-3,4,5,6,6a,7,8,8a,11,12,13,14b-dodecahydro-1H-picene-4a-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1910833
PubChem CID 54671898
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 XRUBFYYNZLBFBN-JYGFFPNFSA-N
Standard InCHI InChI=1S/C30H46O6/c1-25(16-31)12-13-30(24(35)36)19(14-25)18-6-7-21-26(2)10-9-22(33)27(3,17-32)20(26)8-11-28(21,4)29(18,5)15-23(30)34/h6,19-21,23,31-32,34H,7-17H2,1-5H3,(H,35,36)/t19-,20+,21+,23+,25+,26-,27-,28+,29+,30+/m0/s1
SMILES OC[C@]1(C)CC[C@]2([C@@H](C1)C1=CC[C@H]3[C@@]([C@@]1(C[C@H]2O)C)(C)CC[C@@H]1[C@]3(C)CCC(=O)[C@@]1(C)CO)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   502.33 Volume:   529.486
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Van der Waals volume.
Dense:   0.949 LogP:   2.52
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.609
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.009
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   28.0
TPSA:   115.06
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.426 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.163 Fsp3:   0.867
MCE-18:   107.143
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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:   0.646 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:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.319 Promiscuous compounds:   0.274

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.601 MDCK Permeability:   -5.044
Pgp-inhibitor:   0.001 Pgp-substrate:   0.017
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):   0.001
20% Bioavailability (F20%):   0.437 30% Bioavailability (F30%):   0.008
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.797 MRP1:   0.7
Plasma Protein Binding (PPB):   81.892% Volume Distribution (VD):   -0.259
Fu: 15.955%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.074 BCRP inhibitor:   0.918
BSEP inhibitor:   0.981

ADMET: Metabolism

CYP1A2-inhibitor:   0.016 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.082 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.36 CYP3A4-substrate:   0.002
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.024
HLM stability:   0.0
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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):  2.155 Half-life (T1/2):  1.415

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.015
Human Hepatotoxicity (H-HT):  0.848 Drug-induced Liver Injury (DILI):  0.109
AMES Toxicity:  0.212 Rat Oral Acute Toxicity:  0.169
Maximum Recommended Daily Dose:  0.181 Skin Sensitization:  0.989
Carcinogencity:  0.968 Eye Corrosion:  0.0
Eye Irritation:  0.229 Respiratory Toxicity:  0.456
Drug-induced Neurotoxicity:  0.01 Ototoxicity:  0.847
Hematotoxicity:  0.757 Drug-induced Nephrotoxicity:  0.98
Genotoxicity:  0.369 RPMI-8226 Immunitoxicity:  0.023
A549 Cytotoxicity:  0.191 Hek293 Cytotoxicity:  0.128
BCF:   0.483
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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:   3.277
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.916
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.978
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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
NPO30412 Kalopanax pictus Species Araliaceae Eukaryota n.a. stem n.a. PMID[21870831]
NPO30412 Kalopanax pictus Species Araliaceae Eukaryota stem bark Purchased from an herbal market at Kumsan, Chungnam, Korea 2009-AUG PMID[21870831]
NPO30412 Kalopanax pictus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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
NPT2 Others Unspecified n.a. IC50 = 6500.0 nM PMID[21870831]

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 NPC6255 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
0.6761 Remote Similarity NPC158141
0.6486 Remote Similarity NPC471588
0.6438 Remote Similarity NPC228784
0.6438 Remote Similarity NPC324341
0.6438 Remote Similarity NPC601810
0.64 Remote Similarity NPC222047
0.6351 Remote Similarity NPC201657
0.6267 Remote Similarity NPC148964
0.6216 Remote Similarity NPC173089
0.5946 Remote Similarity NPC182797
0.5946 Remote Similarity NPC52169
0.5946 Remote Similarity NPC488562
0.5867 Remote Similarity NPC472149
0.5867 Remote Similarity NPC609452
0.5783 Remote Similarity NPC476890
0.5783 Remote Similarity NPC476889
0.575 Remote Similarity NPC601365
0.5733 Remote Similarity NPC121798
0.5733 Remote Similarity NPC234346
0.5517 Remote Similarity NPC31839
0.5455 Remote Similarity NPC38754
0.5375 Remote Similarity NPC324063
0.5281 Remote Similarity NPC242611
0.5161 Remote Similarity NPC76999
0.5065 Remote Similarity NPC274050
0.5065 Remote Similarity NPC162632
0.5063 Remote Similarity NPC231063
0.5063 Remote Similarity NPC282395
0.5063 Remote Similarity NPC88116
0.5063 Remote Similarity NPC110308

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC6255 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