Natural Product: NPC327707

Natural Product IDNPC327707
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
NCLLSOCDVMFDSK-CGVQWZJCSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5320969
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 NCLLSOCDVMFDSK-CGVQWZJCSA-N
Standard InCHI InChI=1S/C27H44O4/c1-15-7-10-27(30-14-15)16(2)24-22(31-27)13-21-19-6-5-17-11-18(28)12-23(29)26(17,4)20(19)8-9-25(21,24)3/h15-24,28-29H,5-14H2,1-4H3/t15?,16?,17-,18-,19-,20?,21?,22?,23-,24?,25+,26+,27?/m1/s1
SMILES CC1CCC2(C(C3C(O2)CC4C3(CCC5C4CCC6C5(C(CC(C6)O)O)C)C)C)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   432.32 Volume:   459.37
?
Van der Waals volume.
Dense:   0.941 LogP:   3.883
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.888
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.112
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   30.0
TPSA:   58.92
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.579 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.45 Fsp3:   1.0
MCE-18:   142.519
?
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:   0.045 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.061
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.019
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.146 Promiscuous compounds:   0.023

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.158 MDCK Permeability:   -4.848
Pgp-inhibitor:   0.059 Pgp-substrate:   0.01
PAMPA:   0.07
?
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%):   0.008 30% Bioavailability (F30%):   0.03
50% Bioavailability (F50%):   0.889

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.932 MRP1:   0.999
Plasma Protein Binding (PPB):   95.84% Volume Distribution (VD):   0.837
Fu: 5.368%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.043
OATP1B3 inhibitor:   0.821 BCRP inhibitor:   0.012
BSEP inhibitor:   0.985

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 CYP1A2-substrate:   0.006
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.078
CYP2C9-inhibitor:   0.984 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.986 CYP2D6-substrate:   0.011
CYP3A4-inhibitor:   0.008 CYP3A4-substrate:   0.0
CYP2B6-substrate:   1.0 CYP2C8-inhibitor:   0.43
HLM stability:   0.885
?
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):  20.43 Half-life (T1/2):  2.476

ADMET: Toxicity

hERG Blockers:  0.314 hERG Blockers (10um):  0.758
Human Hepatotoxicity (H-HT):  0.614 Drug-induced Liver Injury (DILI):  0.095
AMES Toxicity:  0.131 Rat Oral Acute Toxicity:  0.152
Maximum Recommended Daily Dose:  0.827 Skin Sensitization:  0.111
Carcinogencity:  0.298 Eye Corrosion:  0.0
Eye Irritation:  0.024 Respiratory Toxicity:  0.694
Drug-induced Neurotoxicity:  0.377 Ototoxicity:  0.949
Hematotoxicity:  0.038 Drug-induced Nephrotoxicity:  0.043
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.216 Hek293 Cytotoxicity:  0.52
BCF:   1.949
?
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:   4.317
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.573
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.998
?
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
NPO16884 Convallaria keiskei Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16884 Convallaria keiskei Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16884 Convallaria keiskei Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16884 Convallaria keiskei Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16884 Convallaria keiskei Species Asparagaceae 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

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 NPC327707 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
0.7541 Intermediate Similarity NPC248944
0.7541 Intermediate Similarity NPC7479
0.7541 Intermediate Similarity NPC257296
0.6984 Remote Similarity NPC227260
0.6364 Remote Similarity NPC296734
0.6197 Remote Similarity NPC177818
0.6119 Remote Similarity NPC273290
0.6119 Remote Similarity NPC232044
0.6087 Remote Similarity NPC481427
0.6061 Remote Similarity NPC24556
0.5897 Remote Similarity NPC473774
0.5897 Remote Similarity NPC481418
0.5897 Remote Similarity NPC481419
0.5897 Remote Similarity NPC481417
0.5857 Remote Similarity NPC305808
0.5833 Remote Similarity NPC161035
0.5833 Remote Similarity NPC170438
0.5823 Remote Similarity NPC24960
0.5616 Remote Similarity NPC235126
0.5616 Remote Similarity NPC242419
0.5349 Remote Similarity NPC473616
0.5316 Remote Similarity NPC144790
0.5316 Remote Similarity NPC149400
0.5316 Remote Similarity NPC88962
0.525 Remote Similarity NPC277715

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC327707 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
0.7541 Intermediate Similarity NPD6928 Phase 2
0.5185 Remote Similarity NPD7991 Discontinued

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