Natural Product: NPC221895

Natural Product IDNPC221895
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
IKDVXNASCSGIHM-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5321662
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids
          • [CHEMONTID:0000676] Taxanes and derivatives

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 IKDVXNASCSGIHM-UHFFFAOYSA-N
Standard InCHI InChI=1S/C35H44O13/c1-17-23(40)15-34(32(6,7)42)26(17)27(47-31(41)22-12-10-9-11-13-22)29(45-19(3)37)33(8)24(44-18(2)36)14-25-35(16-43-25,48-21(5)39)28(33)30(34)46-20(4)38/h9-13,23-25,27-30,40,42H,14-16H2,1-8H3
SMILES CC1=C2C(C(C3(C)C(CC4C(CO4)(C3C(C2(CC1O)C(C)(C)O)OC(=O)C)OC(=O)C)OC(=O)C)OC(=O)C)OC(=O)c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   672.28 Volume:   661.678
?
Van der Waals volume.
Dense:   1.016 LogP:   1.934
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.352
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.523
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   30.0
TPSA:   181.19
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.245 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.243 Fsp3:   0.629
MCE-18:   145.158
?
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:   0 PAINS Alert:   0
Colloidal aggregators:   0.104 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.013
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.101
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.043 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.899 MDCK Permeability:   -4.638
Pgp-inhibitor:   0.538 Pgp-substrate:   0.993
PAMPA:   0.965
?
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):   0.082
20% Bioavailability (F20%):   0.339 30% Bioavailability (F30%):   0.928
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   1.0
Plasma Protein Binding (PPB):   51.711% Volume Distribution (VD):   -0.368
Fu: 44.131%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.34
OATP1B3 inhibitor:   0.805 BCRP inhibitor:   0.006
BSEP inhibitor:   0.933

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.032
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.013
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.208
CYP3A4-inhibitor:   0.014 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  0.799 Half-life (T1/2):  1.407

ADMET: Toxicity

hERG Blockers:  0.023 hERG Blockers (10um):  0.197
Human Hepatotoxicity (H-HT):  0.233 Drug-induced Liver Injury (DILI):  0.732
AMES Toxicity:  0.692 Rat Oral Acute Toxicity:  0.335
Maximum Recommended Daily Dose:  0.77 Skin Sensitization:  0.341
Carcinogencity:  0.194 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.013
Drug-induced Neurotoxicity:  0.794 Ototoxicity:  0.96
Hematotoxicity:  0.014 Drug-induced Nephrotoxicity:  0.673
Genotoxicity:  0.98 RPMI-8226 Immunitoxicity:  0.122
A549 Cytotoxicity:  0.026 Hek293 Cytotoxicity:  0.481
BCF:   0.406
?
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:   3.395
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.483
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.435
?
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
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota needles Himalayan n.a. PMID[16480866]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota Stem Bark n.a. n.a. PMID[28240909]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota Roots n.a. n.a. PMID[28581744]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7264680]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15125.2 Taxus wallichiana var. wallichiana Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15125.2 Taxus wallichiana var. wallichiana Varieties Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15125.2 Taxus wallichiana var. wallichiana Varieties Taxaceae 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 NPC221895 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 NPC125882
0.7922 Intermediate Similarity NPC209592
0.7429 Intermediate Similarity NPC602903
0.7093 Intermediate Similarity NPC48599
0.7 Intermediate Similarity NPC20255
0.6842 Remote Similarity NPC600831
0.675 Remote Similarity NPC311825
0.6667 Remote Similarity NPC87934
0.619 Remote Similarity NPC92867
0.5862 Remote Similarity NPC240115
0.5854 Remote Similarity NPC475586
0.5789 Remote Similarity NPC165578
0.5698 Remote Similarity NPC473760
0.5698 Remote Similarity NPC38696
0.5696 Remote Similarity NPC274643
0.5595 Remote Similarity NPC9905
0.5412 Remote Similarity NPC95449
0.5287 Remote Similarity NPC162613
0.5169 Remote Similarity NPC132599
0.5165 Remote Similarity NPC473611
0.5114 Remote Similarity NPC34943
0.5054 Remote Similarity NPC259144

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC221895 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