Natural Product: NPC603291

Natural Product IDNPC603291
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LGGSDHMXURUIDJ-YIXXDRMTSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL352134
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 LGGSDHMXURUIDJ-YIXXDRMTSA-N
Standard InCHI InChI=1S/C29H22O15/c30-13-7-15(31)14-9-23(44-29(41)12-4-18(34)25(38)19(35)5-12)27(42-21(14)8-13)10-1-20(36)26(39)22(6-10)43-28(40)11-2-16(32)24(37)17(33)3-11/h1-8,23,27,30-39H,9H2/t23-,27-/m1/s1
SMILES O=C(Oc1cc([C@H]2Oc3cc(O)cc(O)c3C[C@H]2OC(=O)c2cc(O)c(O)c(O)c2)cc(O)c1O)c1cc(O)c(O)c(O)c1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   610.1 Volume:   562.301
?
Van der Waals volume.
Dense:   1.085 LogP:   1.586
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.223
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.848
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   31.0
TPSA:   264.13
?
Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   10.0 Rings:   5.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.088 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.023 Fsp3:   0.103
MCE-18:   111.562
?
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:   0.991 Fluc inhibitor:   0.304
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.528
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.642
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.702 Promiscuous compounds:   0.805

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.168 MDCK Permeability:   -4.825
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.973
?
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%):   0.97 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   89.533% Volume Distribution (VD):   -0.226
Fu: 10.45%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.995
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.999
BSEP inhibitor:   0.05

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.941
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.106
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.004
?
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):  6.284 Half-life (T1/2):  2.816

ADMET: Toxicity

hERG Blockers:  0.035 hERG Blockers (10um):  0.967
Human Hepatotoxicity (H-HT):  0.277 Drug-induced Liver Injury (DILI):  0.807
AMES Toxicity:  0.662 Rat Oral Acute Toxicity:  0.182
Maximum Recommended Daily Dose:  0.869 Skin Sensitization:  1.0
Carcinogencity:  0.054 Eye Corrosion:  0.0
Eye Irritation:  0.98 Respiratory Toxicity:  0.112
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.995
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.001
Genotoxicity:  0.999 RPMI-8226 Immunitoxicity:  0.0
A549 Cytotoxicity:  1.0 Hek293 Cytotoxicity:  0.593
BCF:   0.733
?
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:   3.586
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.722
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.327
?
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
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[ 16712885]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.foodchem.2013.08.121]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Flowers n.a. n.a. PMID[16180814]
NPO8258 Camellia sinensis Species Theaceae Eukaryota seeds Shizuoka prefecture, Japan n.a. PMID[16499314]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[18068204]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[21434603]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. flower n.a. PMID[21922925]
NPO8258 Camellia sinensis Species Theaceae Eukaryota flower buds n.a. n.a. PMID[21925888]
NPO8258 Camellia sinensis Species Theaceae Eukaryota leaves n.a. n.a. PMID[22377672]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. leaf n.a. PMID[23265489]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Leaves Bandung, West Java, Indonesia PMID[23621359]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. PMID[37255739]
NPO45443 Thea sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Cotyledon n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Seed Oil n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Leaf Essent. Oil n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. Database[FooDB]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8258 Camellia sinensis Species Theaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8258 Camellia sinensis Species Theaceae 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
NPT759 Cell line H9 Homo sapiens IC50 = 40.0 ug.mL-1 DOI[10.1016/0960-894X(96)00095-9]
NPT24 Organism Human immunodeficiency virus 1 Human immunodeficiency virus 1 EC50 = 6.5 ug.mL-1 DOI[10.1016/0960-894X(96)00095-9]

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 NPC603291 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
0.7692 Intermediate Similarity NPC87317
0.7667 Intermediate Similarity NPC291948
0.7667 Intermediate Similarity NPC104983
0.7667 Intermediate Similarity NPC250436
0.7667 Intermediate Similarity NPC300845
0.7667 Intermediate Similarity NPC88803
0.7576 Intermediate Similarity NPC603842
0.7077 Intermediate Similarity NPC38779
0.7077 Intermediate Similarity NPC114179
0.7077 Intermediate Similarity NPC68324
0.7077 Intermediate Similarity NPC289322
0.7077 Intermediate Similarity NPC156818
0.7077 Intermediate Similarity NPC160512
0.6714 Remote Similarity NPC53889
0.6316 Remote Similarity NPC602382
0.6026 Remote Similarity NPC602962
0.5867 Remote Similarity NPC100251
0.5857 Remote Similarity NPC474656
0.5833 Remote Similarity NPC601196
0.5641 Remote Similarity NPC65333
0.56 Remote Similarity NPC308402
0.5529 Remote Similarity NPC600812
0.55 Remote Similarity NPC98583
0.5405 Remote Similarity NPC9636

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC603291 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
0.7667 Intermediate Similarity NPD4868 Phase 3
0.5581 Remote Similarity NPD7993 Clinical (unspecified phase)

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