Natural Product: NPC262451

Natural Product IDNPC262451
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RLGRBYHBNWLGER-NDWMXOAQSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11972315
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0000059] Coumaric acids 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 RLGRBYHBNWLGER-NDWMXOAQSA-N
Standard InCHI InChI=1S/C31H40O15/c1-15-24(36)25(37)26(38)31(43-15)46-29-27(39)30(42-11-10-17-5-8-19(34)21(13-17)41-3)44-22(14-32)28(29)45-23(35)9-6-16-4-7-18(33)20(12-16)40-2/h4-9,12-13,15,22,24-34,36-39H,10-11,14H2,1-3H3/b9-6+/t15-,22+,24+,25+,26+,27+,28+,29+,30+,31-/m0/s1
SMILES C[C@H]1[C@H]([C@H]([C@H]([C@@H](O1)O[C@@H]1[C@H]([C@H](OCCc2ccc(c(c2)OC)O)O[C@H](CO)[C@H]1OC(=O)/C=C/c1ccc(c(c1)OC)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   652.24 Volume:   621.268
?
Van der Waals volume.
Dense:   1.05 LogP:   0.479
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.097
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.53
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   26.0
TPSA:   223.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   7.0 Rings:   4.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.114 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.667 Fsp3:   0.516
MCE-18:   99.34
?
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:   1 PAINS Alert:   0
Colloidal aggregators:   0.757 Fluc inhibitor:   0.665
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.157
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.521
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.081 Promiscuous compounds:   0.283

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.225 MDCK Permeability:   -5.415
Pgp-inhibitor:   0.002 Pgp-substrate:   0.918
PAMPA:   0.997
?
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):   0.126
20% Bioavailability (F20%):   0.5 30% Bioavailability (F30%):   0.895
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.047
Plasma Protein Binding (PPB):   69.56% Volume Distribution (VD):   -0.353
Fu: 30.133%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.011
BSEP inhibitor:   0.658

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.007
CYP2C9-inhibitor:   0.011 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.258 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.213
?
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):  2.534 Half-life (T1/2):  3.718

ADMET: Toxicity

hERG Blockers:  0.058 hERG Blockers (10um):  0.287
Human Hepatotoxicity (H-HT):  0.269 Drug-induced Liver Injury (DILI):  0.201
AMES Toxicity:  0.924 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  0.998
Carcinogencity:  0.043 Eye Corrosion:  0.0
Eye Irritation:  0.015 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.006 Ototoxicity:  0.987
Hematotoxicity:  0.312 Drug-induced Nephrotoxicity:  0.654
Genotoxicity:  0.008 RPMI-8226 Immunitoxicity:  0.189
A549 Cytotoxicity:  0.623 Hek293 Cytotoxicity:  0.658
BCF:   0.581
?
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:   3.135
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.809
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.903
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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
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. whole plant n.a. PMID[10361686]
NPO10680 Cistanche deserticola Species Orobanchaceae Eukaryota n.a. n.a. n.a. PMID[25900014]
NPO10680 Cistanche deserticola Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10680 Cistanche deserticola Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10680 Cistanche deserticola Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10680 Cistanche deserticola Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO10680 Cistanche deserticola Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10680 Cistanche deserticola Species Orobanchaceae 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 NPC262451 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 NPC34587
0.9146 High Similarity NPC100998
0.8916 High Similarity NPC34927
0.7826 Intermediate Similarity NPC471062
0.7816 Intermediate Similarity NPC252292
0.7805 Intermediate Similarity NPC46137
0.7742 Intermediate Similarity NPC470934
0.7619 Intermediate Similarity NPC472350
0.7619 Intermediate Similarity NPC197316
0.7619 Intermediate Similarity NPC89105
0.7474 Intermediate Similarity NPC306890
0.7473 Intermediate Similarity NPC259347
0.7447 Intermediate Similarity NPC470933
0.7273 Intermediate Similarity NPC263829
0.7216 Intermediate Similarity NPC94871
0.7204 Intermediate Similarity NPC476382
0.7111 Intermediate Similarity NPC269141
0.7041 Intermediate Similarity NPC473427
0.6957 Remote Similarity NPC112
0.6346 Remote Similarity NPC476386
0.6316 Remote Similarity NPC298257
0.6316 Remote Similarity NPC175214
0.6304 Remote Similarity NPC76406
0.6264 Remote Similarity NPC483705
0.6262 Remote Similarity NPC257970
0.625 Remote Similarity NPC600370
0.6237 Remote Similarity NPC611289
0.6196 Remote Similarity NPC134405
0.617 Remote Similarity NPC106677
0.6154 Remote Similarity NPC483706
0.6111 Remote Similarity NPC470927
0.5979 Remote Similarity NPC205864
0.5979 Remote Similarity NPC247032
0.596 Remote Similarity NPC96795
0.596 Remote Similarity NPC264632
0.596 Remote Similarity NPC232992
0.5941 Remote Similarity NPC106818
0.59 Remote Similarity NPC300894
0.59 Remote Similarity NPC23845
0.5865 Remote Similarity NPC87403
0.5758 Remote Similarity NPC296954
0.5648 Remote Similarity NPC188393
0.5542 Remote Similarity NPC157554
0.5521 Remote Similarity NPC68092
0.5444 Remote Similarity NPC473285
0.534 Remote Similarity NPC610636
0.5294 Remote Similarity NPC119537
0.5278 Remote Similarity NPC476398
0.5263 Remote Similarity NPC81515
0.5263 Remote Similarity NPC235294
0.5189 Remote Similarity NPC476384
0.5165 Remote Similarity NPC35731
0.5155 Remote Similarity NPC64141
0.5138 Remote Similarity NPC64195
0.5111 Remote Similarity NPC886
0.5093 Remote Similarity NPC476380
0.5093 Remote Similarity NPC476381

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC262451 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
0.7619 Intermediate Similarity NPD7266 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