Natural Product: NPC321355

Natural Product IDNPC321355
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PFCVZKFJHRCLCC-OCZSFEIKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5317733
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 PFCVZKFJHRCLCC-OCZSFEIKSA-N
Standard InCHI InChI=1S/C30H48O4/c1-17(2)18-10-13-30(25(33)34)15-14-28(6)19(23(18)30)8-9-22-27(5)16-20(31)24(32)26(3,4)21(27)11-12-29(22,28)7/h18-24,31-32H,1,8-16H2,2-7H3,(H,33,34)/t18?,19?,20?,21?,22?,23?,24-,27-,28?,29?,30?/m0/s1
SMILES CC(=C)C1CCC2(C1C3CCC4C(C3(CC2)C)(CCC5C4(CC(C(C5(C)C)O)O)C)C)C(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   514.542
?
Van der Waals volume.
Dense:   0.918 LogP:   3.764
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.357
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.939
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   27.0
TPSA:   77.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.427 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.874 Fsp3:   0.9
MCE-18:   106.737
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.124 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.032
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.235 Promiscuous compounds:   0.032

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.333 MDCK Permeability:   -4.941
Pgp-inhibitor:   0.001 Pgp-substrate:   0.0
PAMPA:   0.037
?
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%):   0.001 30% Bioavailability (F30%):   0.01
50% Bioavailability (F50%):   0.838

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.98 MRP1:   1.0
Plasma Protein Binding (PPB):   87.405% Volume Distribution (VD):   -0.154
Fu: 9.149%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.034
OATP1B3 inhibitor:   0.971 BCRP inhibitor:   0.001
BSEP inhibitor:   0.81

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.015 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.053 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.002 CYP2C8-inhibitor:   0.0
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):  5.915 Half-life (T1/2):  1.519

ADMET: Toxicity

hERG Blockers:  0.071 hERG Blockers (10um):  0.354
Human Hepatotoxicity (H-HT):  0.45 Drug-induced Liver Injury (DILI):  0.137
AMES Toxicity:  0.051 Rat Oral Acute Toxicity:  0.138
Maximum Recommended Daily Dose:  0.636 Skin Sensitization:  0.021
Carcinogencity:  0.168 Eye Corrosion:  0.008
Eye Irritation:  0.486 Respiratory Toxicity:  0.533
Drug-induced Neurotoxicity:  0.215 Ototoxicity:  0.942
Hematotoxicity:  0.088 Drug-induced Nephrotoxicity:  0.159
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.016
A549 Cytotoxicity:  0.039 Hek293 Cytotoxicity:  0.133
BCF:   1.763
?
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:   4.845
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.148
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.323
?
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
NPO31026 Myrica rubra Species Myricaceae Eukaryota barks n.a. n.a. PMID[23066712]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. PMID[27617953]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota Roots n.a. n.a. PMID[28257196]
NPO17191 Dryobalanops aromatica Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO31026 Myrica rubra Species Myricaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO31026 Myrica rubra Species Myricaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17191 Dryobalanops aromatica Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17191 Dryobalanops aromatica Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5986.3 Ziziphus jujuba mill. var. inermis (bge.) rehd. Varieties Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO31026 Myrica rubra Species Myricaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17191 Dryobalanops aromatica Species Dipterocarpaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17191 Dryobalanops aromatica Species Dipterocarpaceae 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 NPC321355 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 NPC488506
1.0 High Similarity NPC220498
0.8475 Intermediate Similarity NPC488213
0.7966 Intermediate Similarity NPC291373
0.75 Intermediate Similarity NPC264317
0.75 Intermediate Similarity NPC294438
0.7258 Intermediate Similarity NPC277399
0.6825 Remote Similarity NPC24772
0.6825 Remote Similarity NPC488164
0.6825 Remote Similarity NPC213832
0.6825 Remote Similarity NPC264005
0.6667 Remote Similarity NPC80590
0.6615 Remote Similarity NPC16377
0.6562 Remote Similarity NPC211162
0.6562 Remote Similarity NPC183374
0.6557 Remote Similarity NPC68828
0.6462 Remote Similarity NPC201655
0.6418 Remote Similarity NPC486704
0.6364 Remote Similarity NPC151191
0.629 Remote Similarity NPC246445
0.625 Remote Similarity NPC192744
0.6212 Remote Similarity NPC195395
0.6119 Remote Similarity NPC2783
0.6029 Remote Similarity NPC474719
0.597 Remote Similarity NPC271974
0.597 Remote Similarity NPC247312
0.5942 Remote Similarity NPC488165
0.5921 Remote Similarity NPC486709
0.5909 Remote Similarity NPC30583
0.5902 Remote Similarity NPC102708
0.5882 Remote Similarity NPC4309
0.5797 Remote Similarity NPC475061
0.5797 Remote Similarity NPC601275
0.5758 Remote Similarity NPC119743
0.5714 Remote Similarity NPC160506
0.5696 Remote Similarity NPC486699
0.5634 Remote Similarity NPC478841
0.5634 Remote Similarity NPC488166
0.5634 Remote Similarity NPC607677
0.5571 Remote Similarity NPC269360
0.5556 Remote Similarity NPC290349
0.5429 Remote Similarity NPC57954
0.5417 Remote Similarity NPC169933
0.5417 Remote Similarity NPC601176
0.5417 Remote Similarity NPC608379
0.5362 Remote Similarity NPC476071
0.5357 Remote Similarity NPC475138
0.5286 Remote Similarity NPC609710
0.5278 Remote Similarity NPC71074
0.5278 Remote Similarity NPC37221
0.5278 Remote Similarity NPC605937
0.5278 Remote Similarity NPC611139
0.5233 Remote Similarity NPC486700
0.5233 Remote Similarity NPC275312
0.5211 Remote Similarity NPC18064
0.5205 Remote Similarity NPC259733
0.5205 Remote Similarity NPC158371
0.5205 Remote Similarity NPC207922
0.5205 Remote Similarity NPC600004
0.52 Remote Similarity NPC198245
0.5172 Remote Similarity NPC101863
0.5147 Remote Similarity NPC472608
0.5139 Remote Similarity NPC84319
0.5139 Remote Similarity NPC52021
0.5139 Remote Similarity NPC599947
0.5128 Remote Similarity NPC606354
0.5114 Remote Similarity NPC487491
0.5068 Remote Similarity NPC472149
0.5067 Remote Similarity NPC25299
0.5067 Remote Similarity NPC481322

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC321355 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
0.75 Intermediate Similarity NPD7520 Phase 1
0.5714 Remote Similarity NPD8035 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