Natural Product: NPC601223

Natural Product IDNPC601223
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DEFBHVGGCIFMGI-TUWHUXBLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL390511
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 DEFBHVGGCIFMGI-TUWHUXBLSA-N
Standard InCHI InChI=1S/C30H50O3/c1-18(22-17-25(32)27(4,5)33-22)19-11-15-30(8)21-9-10-23-26(2,3)24(31)13-14-28(23,6)20(21)12-16-29(19,30)7/h18-19,22-25,31-32H,9-17H2,1-8H3/t18-,19+,22-,23-,24-,25-,28+,29+,30-/m0/s1
SMILES C[C@H]([C@@H]1C[C@H](O)C(C)(C)O1)[C@H]1CC[C@@]2(C)C3=C(CC[C@]12C)[C@@]1(C)CC[C@H](O)C(C)(C)[C@@H]1CC3

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   458.38 Volume:   508.388
?
Van der Waals volume.
Dense:   0.902 LogP:   4.343
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.961
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.478
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   25.0
TPSA:   49.69
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.455 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.038 Fsp3:   0.933
MCE-18:   100.897
?
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:   0.926 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.019
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.33 Promiscuous compounds:   0.15

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.998 MDCK Permeability:   -4.725
Pgp-inhibitor:   0.872 Pgp-substrate:   0.262
PAMPA:   0.852
?
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%):   0.936 30% Bioavailability (F30%):   0.462
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.897 MRP1:   0.967
Plasma Protein Binding (PPB):   92.809% Volume Distribution (VD):   0.063
Fu: 7.413%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.831
BSEP inhibitor:   0.99

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   0.011
CYP2C19-inhibitor:   0.989 CYP2C19-substrate:   0.01
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.032
CYP3A4-inhibitor:   0.993 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.872
HLM stability:   0.173
?
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):  13.695 Half-life (T1/2):  0.573

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.145
Human Hepatotoxicity (H-HT):  0.561 Drug-induced Liver Injury (DILI):  0.288
AMES Toxicity:  0.753 Rat Oral Acute Toxicity:  0.374
Maximum Recommended Daily Dose:  0.634 Skin Sensitization:  0.999
Carcinogencity:  0.898 Eye Corrosion:  0.017
Eye Irritation:  0.681 Respiratory Toxicity:  0.911
Drug-induced Neurotoxicity:  0.084 Ototoxicity:  0.66
Hematotoxicity:  0.578 Drug-induced Nephrotoxicity:  0.875
Genotoxicity:  0.175 RPMI-8226 Immunitoxicity:  0.098
A549 Cytotoxicity:  0.875 Hek293 Cytotoxicity:  0.691
BCF:   2.42
?
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:   4.344
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.353
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.045
?
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
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota sclerotia n.a. n.a. PMID[17049251]
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota sclerotia n.a. n.a. PMID[18387711]
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota n.a. n.a. n.a. PMID[24359303]
NPO18766 Inonotus obliquus Species Hymenochaetaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18766 Inonotus obliquus Species Hymenochaetaceae 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
NPT1635 Cell line H9c2 Rattus norvegicus Activity n.a. n.a. n.a. PMID[36748235]

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 NPC601223 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 NPC132635
0.7167 Intermediate Similarity NPC473269
0.7119 Intermediate Similarity NPC308041
0.7119 Intermediate Similarity NPC16350
0.7 Intermediate Similarity NPC20388
0.6885 Remote Similarity NPC486193
0.6441 Remote Similarity NPC231477
0.6441 Remote Similarity NPC87489
0.6441 Remote Similarity NPC123724
0.6379 Remote Similarity NPC118508
0.6379 Remote Similarity NPC484086
0.6271 Remote Similarity NPC275910
0.6271 Remote Similarity NPC46160
0.6271 Remote Similarity NPC202642
0.625 Remote Similarity NPC486187
0.623 Remote Similarity NPC471724
0.6167 Remote Similarity NPC73875
0.6129 Remote Similarity NPC94755
0.6094 Remote Similarity NPC471720
0.6066 Remote Similarity NPC214570
0.5522 Remote Similarity NPC486197
0.5429 Remote Similarity NPC11903
0.541 Remote Similarity NPC606082
0.5224 Remote Similarity NPC55309
0.5224 Remote Similarity NPC28252
0.52 Remote Similarity NPC482571
0.5152 Remote Similarity NPC171789
0.5147 Remote Similarity NPC233836
0.5147 Remote Similarity NPC159046
0.5147 Remote Similarity NPC469400
0.5147 Remote Similarity NPC187376

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC601223 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