Natural Product: NPC132395

Natural Product IDNPC132395
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PNDRXCYFFUDPGO-VQHZMYJQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3343974
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0001757] Colensane and clerodane diterpenoids

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 PNDRXCYFFUDPGO-VQHZMYJQSA-N
Standard InCHI InChI=1S/C25H34O7/c1-8-14(2)9-10-24(6)15(3)11-21(29-7)25-19(12-18(28)13-20(24)25)22(30-16(4)26)32-23(25)31-17(5)27/h8,12,15,20-23H,1-2,9-11,13H2,3-7H3/t15-,20+,21+,22+,23-,24-,25-/m1/s1
SMILES CO[C@H]1C[C@@H](C)[C@@]([C@H]2[C@]31[C@H](OC(=O)C)O[C@@H](C3=CC(=O)C2)OC(=O)C)(C)CCC(=C)C=C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   446.23 Volume:   461.0
?
Van der Waals volume.
Dense:   0.968 LogP:   2.824
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.845
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.763
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   20.0
TPSA:   88.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.433 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.62 Fsp3:   0.64
MCE-18:   85.976
?
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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.224 Fluc inhibitor:   0.007
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.004
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.353 Promiscuous compounds:   0.611

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.988 MDCK Permeability:   -4.796
Pgp-inhibitor:   0.993 Pgp-substrate:   0.266
PAMPA:   0.133
?
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):   0.008
20% Bioavailability (F20%):   0.97 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.036 MRP1:   0.946
Plasma Protein Binding (PPB):   81.969% Volume Distribution (VD):   -0.167
Fu: 16.981%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.979 BCRP inhibitor:   0.908
BSEP inhibitor:   0.987

ADMET: Metabolism

CYP1A2-inhibitor:   0.014 CYP1A2-substrate:   0.588
CYP2C19-inhibitor:   0.97 CYP2C19-substrate:   0.01
CYP2C9-inhibitor:   0.007 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.117
CYP3A4-inhibitor:   0.029 CYP3A4-substrate:   0.116
CYP2B6-substrate:   0.003 CYP2C8-inhibitor:   0.988
HLM stability:   0.975
?
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):  8.241 Half-life (T1/2):  0.981

ADMET: Toxicity

hERG Blockers:  0.035 hERG Blockers (10um):  0.309
Human Hepatotoxicity (H-HT):  0.418 Drug-induced Liver Injury (DILI):  0.566
AMES Toxicity:  0.851 Rat Oral Acute Toxicity:  0.782
Maximum Recommended Daily Dose:  0.829 Skin Sensitization:  0.982
Carcinogencity:  0.622 Eye Corrosion:  0.019
Eye Irritation:  0.572 Respiratory Toxicity:  0.796
Drug-induced Neurotoxicity:  0.533 Ototoxicity:  0.332
Hematotoxicity:  0.64 Drug-induced Nephrotoxicity:  0.629
Genotoxicity:  0.904 RPMI-8226 Immunitoxicity:  0.259
A549 Cytotoxicity:  0.119 Hek293 Cytotoxicity:  0.28
BCF:   0.736
?
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:   3.636
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.444
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.814
?
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
NPO32459 casearia balansae Species Salicaceae Eukaryota leaves and twigs n.a. n.a. PMID[24033131]
NPO32459 casearia balansae Species Salicaceae Eukaryota twigs n.a. n.a. PMID[25286284]
NPO32459 casearia balansae Species Salicaceae Eukaryota Leaves n.a. n.a. PMID[26699618]
NPO32459 casearia balansae Species Salicaceae 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
NPT681 Cell line PC-12 Rattus norvegicus EC50 = 2.5 ug.mL-1 PMID[25286284]

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 NPC132395 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 NPC471364
0.8966 High Similarity NPC471365
0.7937 Intermediate Similarity NPC488219
0.7213 Intermediate Similarity NPC171598
0.6984 Remote Similarity NPC318917
0.6984 Remote Similarity NPC481019
0.6774 Remote Similarity NPC472189
0.6769 Remote Similarity NPC471366
0.6769 Remote Similarity NPC476800
0.6769 Remote Similarity NPC488237
0.6667 Remote Similarity NPC481018
0.6615 Remote Similarity NPC472186
0.6562 Remote Similarity NPC488651
0.6562 Remote Similarity NPC488648
0.6562 Remote Similarity NPC481020
0.6515 Remote Similarity NPC488649
0.6462 Remote Similarity NPC471362
0.6462 Remote Similarity NPC471372
0.6452 Remote Similarity NPC486758
0.6418 Remote Similarity NPC481017
0.6364 Remote Similarity NPC472188
0.6143 Remote Similarity NPC472187
0.6119 Remote Similarity NPC488236
0.5857 Remote Similarity NPC473545
0.5692 Remote Similarity NPC488650
0.5692 Remote Similarity NPC481022
0.5616 Remote Similarity NPC488221
0.5616 Remote Similarity NPC488220
0.5616 Remote Similarity NPC488216
0.5588 Remote Similarity NPC479934
0.5526 Remote Similarity NPC486752
0.5507 Remote Similarity NPC479935
0.5507 Remote Similarity NPC479936
0.5441 Remote Similarity NPC606965
0.5362 Remote Similarity NPC600724
0.5286 Remote Similarity NPC479939
0.5211 Remote Similarity NPC479937
0.5139 Remote Similarity NPC473204
0.5139 Remote Similarity NPC479938
0.5062 Remote Similarity NPC486759
0.5062 Remote Similarity NPC488217
0.5062 Remote Similarity NPC488218

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC132395 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