Natural Product: NPC33724

Natural Product IDNPC33724
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DRLUTLAAIGZFCO-NSGUDPGQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL2375778
PubChem CID 71714461
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000238] Tannins
        • [CHEMONTID:0001710] Hydrolyzable tannins

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 DRLUTLAAIGZFCO-NSGUDPGQSA-N
Standard InCHI InChI=1S/C123H84O78/c124-40-1-25(2-41(125)70(40)143)106(166)193-100-97-61(22-181-112(172)31-13-48(132)75(148)84(157)64(31)67-34(115(175)190-97)16-51(135)78(151)87(67)160)186-121-103(100)196-118(178)37-19-54(138)81(154)90(163)93(37)184-59-11-29(7-46(130)73(59)146)110(170)200-122-104(101(194-107(167)26-3-42(126)71(144)43(127)4-26)98-62(187-122)23-182-113(173)32-14-49(133)76(149)85(158)65(32)68-35(116(176)191-98)17-52(136)79(152)88(68)161)197-119(179)38-20-55(139)82(155)91(164)94(38)185-60-12-30(8-47(131)74(60)147)111(171)201-123-105(198-120(180)39-21-56(140)83(156)92(165)95(39)189-96-57(141)9-28(10-58(96)142)109(169)199-121)102(195-108(168)27-5-44(128)72(145)45(129)6-27)99-63(188-123)24-183-114(174)33-15-50(134)77(150)86(159)66(33)69-36(117(177)192-99)18-53(137)80(153)89(69)162/h1-21,61-63,97-105,121-165H,22-24H2/t61-,62-,63-,97-,98-,99-,100+,101+,102+,103-,104-,105-,121+,122+,123+/m1/s1
SMILES c1c(cc(c(c1O)O)O)C(=O)O[C@H]1[C@H]2[C@@H](COC(=O)c3cc(c(c(c3-c3c(cc(c(c3O)O)O)C(=O)O2)O)O)O)O[C@@H]2[C@@H]1OC(=O)c1cc(c(c(c1Oc1cc(cc(c1O)O)C(=O)O[C@H]1[C@@H]([C@H]([C@H]3[C@@H](COC(=O)c4cc(c(c(c4-c4c(cc(c(c4O)O)O)C(=O)O3)O)O)O)O1)OC(=O)c1cc(c(c(c1)O)O)O)OC(=O)c1cc(c(c(c1Oc1cc(cc(c1O)O)C(=O)O[C@H]1[C@@H]([C@H]([C@H]3[C@@H](COC(=O)c4cc(c(c(c4-c4c(cc(c(c4O)O)O)C(=O)O3)O)O)O)O1)OC(=O)c1cc(c(c(c1)O)O)O)OC(=O)c1cc(c(c(c1Oc1c(cc(cc1O)C(=O)O2)O)O)O)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO20417 Tamarix nilotica Species Tamaricaceae Eukaryota n.a. n.a. n.a. PMID[20405847]
NPO20417 Tamarix nilotica Species Tamaricaceae Eukaryota n.a. n.a. n.a. PMID[23675651]
NPO20417 Tamarix nilotica Species Tamaricaceae Eukaryota Leaves n.a. n.a. PMID[26938659]
NPO20417 Tamarix nilotica Species Tamaricaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20417 Tamarix nilotica Species Tamaricaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20417 Tamarix nilotica Species Tamaricaceae 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
NPT116 Cell line HL-60 Homo sapiens CC50 = 30500.0 nM PMID[1294697]
NPT2394 Cell line HSC-4 Homo sapiens CC50 = 42900.0 nM PMID[23350733]
NPT2385 Cell line HSC-3 Homo sapiens CC50 = 34200.0 nM PMID[24941130]
NPT924 Cell line HSC-2 Homo sapiens CC50 = 22300.0 nM PMID[25046128]

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 NPC33724 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 NPC194439
0.9512 High Similarity NPC488884
0.8987 High Similarity NPC223534
0.8974 High Similarity NPC112211
0.8974 High Similarity NPC254925
0.878 High Similarity NPC187632
0.878 High Similarity NPC240200
0.878 High Similarity NPC488885
0.8608 High Similarity NPC40078
0.8571 High Similarity NPC31208
0.8571 High Similarity NPC160543
0.8193 Intermediate Similarity NPC290289
0.809 Intermediate Similarity NPC488887
0.809 Intermediate Similarity NPC488886
0.8072 Intermediate Similarity NPC483712
0.8072 Intermediate Similarity NPC158214
0.8072 Intermediate Similarity NPC214202
0.7857 Intermediate Similarity NPC97924
0.7742 Intermediate Similarity NPC469652
0.7742 Intermediate Similarity NPC486025
0.7742 Intermediate Similarity NPC486024
0.7579 Intermediate Similarity NPC93065
0.7579 Intermediate Similarity NPC220876
0.7113 Intermediate Similarity NPC260521
0.703 Intermediate Similarity NPC174140
0.7021 Intermediate Similarity NPC471091
0.6875 Remote Similarity NPC469649
0.6795 Remote Similarity NPC43918
0.6795 Remote Similarity NPC261411
0.6795 Remote Similarity NPC190204
0.6709 Remote Similarity NPC469651
0.6667 Remote Similarity NPC47521
0.6289 Remote Similarity NPC116108
0.5579 Remote Similarity NPC269625
0.5443 Remote Similarity NPC114791
0.5443 Remote Similarity NPC104222
0.5443 Remote Similarity NPC210501
0.5443 Remote Similarity NPC318826
0.5443 Remote Similarity NPC141331
0.5341 Remote Similarity NPC149300
0.5217 Remote Similarity NPC8940

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC33724 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