Natural Product: NPC287695

Natural Product IDNPC287695
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XIFRPUIQXADIQI-PHPFWZQASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102594774
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001586] Biflavonoids and polyflavonoids

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 XIFRPUIQXADIQI-PHPFWZQASA-N
Standard InCHI InChI=1S/C51H46O23/c52-15-34-41(65)43(67)44(68)50(69-34)72-49-40-35-28(61)10-19(53)11-32(35)73-51(49,18-3-6-23(56)27(60)9-18)74-33-14-30(63)37-39(42(66)46(71-48(37)38(33)40)17-2-5-22(55)26(59)8-17)36-29(62)13-24(57)20-12-31(64)45(70-47(20)36)16-1-4-21(54)25(58)7-16/h1-11,13-14,31,34,39-46,49-50,52-68H,12,15H2/t31-,34-,39?,40+,41+,42-,43+,44-,45-,46-,49-,50+,51+/m1/s1
SMILES c1cc(c(cc1[C@@H]1[C@@H](Cc2c(cc(c(C3c4c(cc5c([C@@H]6c7c(cc(cc7O[C@](c7ccc(c(c7)O)O)([C@@H]6O[C@H]6[C@@H]([C@H]([C@H]([C@@H](CO)O6)O)O)O)O5)O)O)c4O[C@H](c4ccc(c(c4)O)O)[C@@H]3O)O)c2O1)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1026.24 Volume:   951.25
?
Van der Waals volume.
Dense:   1.079 LogP:   0.819
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.174
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.856
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   60.0
TPSA:   399.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   17.0 Rings:   11.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.102 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.975 Fsp3:   0.294
MCE-18:   243.121
?
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:   1
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.759 Fluc inhibitor:   0.014
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.434
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.643
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.572 Promiscuous compounds:   0.136

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.664 MDCK Permeability:   -4.389
Pgp-inhibitor:   0.0 Pgp-substrate:   0.598
PAMPA:   0.908
?
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):   0.0
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.992
Plasma Protein Binding (PPB):   88.011% Volume Distribution (VD):   0.118
Fu: 12.083%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.018
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.0
?
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):  4.093 Half-life (T1/2):  7.795

ADMET: Toxicity

hERG Blockers:  0.021 hERG Blockers (10um):  0.761
Human Hepatotoxicity (H-HT):  0.846 Drug-induced Liver Injury (DILI):  0.916
AMES Toxicity:  0.773 Rat Oral Acute Toxicity:  0.344
Maximum Recommended Daily Dose:  0.766 Skin Sensitization:  1.0
Carcinogencity:  0.001 Eye Corrosion:  0.0
Eye Irritation:  0.011 Respiratory Toxicity:  0.515
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.021 Drug-induced Nephrotoxicity:  0.228
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.08
A549 Cytotoxicity:  1.0 Hek293 Cytotoxicity:  0.995
BCF:   0.922
?
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:   3.674
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.243
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.442
?
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
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/S0031-9422(00)00169-2]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. fruit n.a. PMID[15128023]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. n.a. PMID[18068204]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota Petiole n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota Testa n.a. n.a. Database[FooDB]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15401 Theobroma cacao Species Malvaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15401 Theobroma cacao Species Malvaceae 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 NPC287695 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
0.8764 High Similarity NPC185231
0.6702 Remote Similarity NPC147743
0.6702 Remote Similarity NPC4809
0.6702 Remote Similarity NPC73517
0.6392 Remote Similarity NPC86630
0.6238 Remote Similarity NPC159526
0.6 Remote Similarity NPC106601
0.6 Remote Similarity NPC151474
0.5955 Remote Similarity NPC58190
0.5955 Remote Similarity NPC108811
0.5955 Remote Similarity NPC170103
0.5955 Remote Similarity NPC236202
0.5955 Remote Similarity NPC262911
0.5955 Remote Similarity NPC202742
0.5941 Remote Similarity NPC212614
0.5941 Remote Similarity NPC205613
0.5889 Remote Similarity NPC246202
0.5889 Remote Similarity NPC224161
0.5889 Remote Similarity NPC46335
0.5889 Remote Similarity NPC279406
0.5889 Remote Similarity NPC486519
0.5833 Remote Similarity NPC20050
0.5784 Remote Similarity NPC478337
0.5784 Remote Similarity NPC478338
0.5686 Remote Similarity NPC478340
0.5625 Remote Similarity NPC278548
0.5612 Remote Similarity NPC306267
0.5612 Remote Similarity NPC478616
0.5612 Remote Similarity NPC478339
0.5534 Remote Similarity NPC78074
0.5521 Remote Similarity NPC272552
0.5521 Remote Similarity NPC226108
0.5521 Remote Similarity NPC322899
0.5514 Remote Similarity NPC478617
0.5347 Remote Similarity NPC471404
0.5312 Remote Similarity NPC70409
0.5312 Remote Similarity NPC204770
0.5312 Remote Similarity NPC600551
0.5312 Remote Similarity NPC601980
0.5312 Remote Similarity NPC602065
0.5312 Remote Similarity NPC611024
0.5306 Remote Similarity NPC46283
0.5306 Remote Similarity NPC469944
0.5306 Remote Similarity NPC134911
0.5263 Remote Similarity NPC313116
0.5263 Remote Similarity NPC603340
0.5258 Remote Similarity NPC226809
0.5253 Remote Similarity NPC44192
0.5102 Remote Similarity NPC211561
0.5096 Remote Similarity NPC9309
0.5054 Remote Similarity NPC96576
0.5052 Remote Similarity NPC160156
0.5052 Remote Similarity NPC92565
0.5051 Remote Similarity NPC600630
0.5051 Remote Similarity NPC607896
0.5051 Remote Similarity NPC611369

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC287695 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