Natural Product: NPC14752

Natural Product IDNPC14752
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
TYLVGQKNNUHXIP-DAYPOXPHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11970038
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 TYLVGQKNNUHXIP-DAYPOXPHSA-N
Standard InCHI InChI=1S/C45H49NO13/c1-24-29(57-41(54)35(50)33(26-15-9-6-10-16-26)46-39(52)27-17-11-7-12-18-27)22-45(55)38(58-40(53)28-19-13-8-14-20-28)36-43(5,37(51)34(49)32(24)42(45,3)4)30(48)21-31-44(36,23-56-31)59-25(2)47/h6-20,29-31,33-36,38,48-50,55H,21-23H2,1-5H3,(H,46,52)/t29?,30-,31+,33-,34+,35+,36?,38?,43+,44-,45+/m0/s1
SMILES CC1=C2[C@H](C(=O)[C@]3(C)[C@H](C[C@@H]4[C@@](CO4)(C3C([C@](CC1OC(=O)[C@@H]([C@H](c1ccccc1)N=C(c1ccccc1)O)O)(C2(C)C)O)OC(=O)c1ccccc1)OC(=O)C)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   811.32 Volume:   812.703
?
Van der Waals volume.
Dense:   0.998 LogP:   2.72
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.682
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.828
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   12.0 Rigid Bonds:   43.0
TPSA:   218.71
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   5.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.069 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.039 Fsp3:   0.444
MCE-18:   173.4
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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:   0.681 Fluc inhibitor:   0.005
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.09
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.602
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.028 Promiscuous compounds:   0.014

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.683 MDCK Permeability:   -5.062
Pgp-inhibitor:   0.661 Pgp-substrate:   1.0
PAMPA:   1.0
?
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%):   0.998 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   96.072% Volume Distribution (VD):   0.103
Fu: 3.263%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.983 BCRP inhibitor:   0.0
BSEP inhibitor:   0.71

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.001
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.169
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.692
?
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):  2.167 Half-life (T1/2):  2.883

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.051
Human Hepatotoxicity (H-HT):  0.989 Drug-induced Liver Injury (DILI):  0.977
AMES Toxicity:  0.759 Rat Oral Acute Toxicity:  0.799
Maximum Recommended Daily Dose:  0.858 Skin Sensitization:  1.0
Carcinogencity:  0.05 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.092
Drug-induced Neurotoxicity:  0.988 Ototoxicity:  0.974
Hematotoxicity:  0.678 Drug-induced Nephrotoxicity:  0.996
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.251
A549 Cytotoxicity:  0.891 Hek293 Cytotoxicity:  0.879
BCF:   0.499
?
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:   3.314
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.001
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.243
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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
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota needles Himalayan n.a. PMID[16480866]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[23265441]
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]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7561894]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. PMID[7908950]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5067 Taxus baccata Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23720 Taxus wallichiana Species Taxaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5067 Taxus baccata Species 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]
NPO5067 Taxus baccata 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]

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 NPC14752 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 NPC321072
1.0 High Similarity NPC215892
1.0 High Similarity NPC242662
0.8526 High Similarity NPC102167
0.8526 High Similarity NPC488127
0.8438 Intermediate Similarity NPC453583
0.8351 Intermediate Similarity NPC471754
0.8351 Intermediate Similarity NPC479183
0.8351 Intermediate Similarity NPC479181
0.8247 Intermediate Similarity NPC208553
0.8247 Intermediate Similarity NPC181964
0.8247 Intermediate Similarity NPC307628
0.8247 Intermediate Similarity NPC191193
0.8144 Intermediate Similarity NPC478328
0.7778 Intermediate Similarity NPC327699
0.7383 Intermediate Similarity NPC289383
0.7184 Intermediate Similarity NPC317882
0.7157 Intermediate Similarity NPC473300
0.7115 Intermediate Similarity NPC33372
0.7115 Intermediate Similarity NPC67246
0.7048 Intermediate Similarity NPC478329
0.7019 Intermediate Similarity NPC471623
0.6952 Remote Similarity NPC324251
0.6952 Remote Similarity NPC206211
0.6887 Remote Similarity NPC487360
0.6887 Remote Similarity NPC479182
0.6887 Remote Similarity NPC479180
0.6887 Remote Similarity NPC471629
0.6887 Remote Similarity NPC306001
0.6857 Remote Similarity NPC453588
0.6789 Remote Similarity NPC487361
0.6759 Remote Similarity NPC275170
0.6697 Remote Similarity NPC486061
0.6697 Remote Similarity NPC486060
0.6466 Remote Similarity NPC472375
0.6404 Remote Similarity NPC116862
0.6293 Remote Similarity NPC479186
0.625 Remote Similarity NPC229545
0.625 Remote Similarity NPC248265
0.625 Remote Similarity NPC134685
0.6091 Remote Similarity NPC603171
0.5905 Remote Similarity NPC603140
0.5877 Remote Similarity NPC471606
0.5856 Remote Similarity NPC473490
0.5804 Remote Similarity NPC473400
0.5766 Remote Similarity NPC36607
0.57 Remote Similarity NPC605573
0.5664 Remote Similarity NPC473558
0.562 Remote Similarity NPC472391
0.562 Remote Similarity NPC479173
0.561 Remote Similarity NPC479184
0.5455 Remote Similarity NPC472392
0.5447 Remote Similarity NPC479185
0.534 Remote Similarity NPC155329
0.534 Remote Similarity NPC11588
0.534 Remote Similarity NPC114357
0.5146 Remote Similarity NPC197037
0.5146 Remote Similarity NPC91730

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC14752 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
0.8526 High Similarity NPD8360 Approved
0.8526 High Similarity NPD8361 Phase 4
0.8247 Intermediate Similarity NPD8485 Phase 4
0.7404 Intermediate Similarity NPD8486 Phase 1
0.6147 Remote Similarity NPD8424 Phase 3
0.5946 Remote Similarity NPD8435 Phase 4
0.5667 Remote Similarity NPD8404 Phase 2
0.5565 Remote Similarity NPD8462 Phase 2
0.5345 Remote Similarity NPD8368 Phase 2
0.5294 Remote Similarity NPD8434 Phase 2

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