Natural Product: NPC532684

Natural Product IDNPC532684
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(1~{R},3~{a}~{S},5~{a}~{R},5~{b}~{R},7~{a}~{R},9~{R},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{S})-9-acetoxy-1-isopropenyl-5~{a},5~{b},8,8,11~{a}-pentamethyl-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a}-carboxylic acid
IUPAC Name (1~{R},3~{a}~{S},5~{a}~{R},5~{b}~{R},7~{a}~{R},9~{R},11~{a}~{R},11~{b}~{R},13~{a}~{R},13~{b}~{S})-9-acetoxy-1-isopropenyl-5~{a},5~{b},8,8,11~{a}-pentamethyl-1,2,3,4,5,6,7,7~{a},9,10,11,11~{b},12,13,13~{a},13~{b}-hexadecahydrocyclopenta[a]chrysene-3~{a}-carboxylic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
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 ACWNTJJUZAIOLW-UHYWUVHCSA-N
Standard InCHI InChI=1S/C32H50O4/c1-19(2)21-11-16-32(27(34)35)18-17-30(7)22(26(21)32)9-10-24-29(6)14-13-25(36-20(3)33)28(4,5)23(29)12-15-31(24,30)8/h21-26H,1,9-18H2,2-8H3,(H,34,35)/t21-,22+,23-,24+,25+,26-,29-,30+,31+,32-/m0/s1
SMILES C=C(C)[C@@H]1CC[C@]2(C(=O)O)CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)CC[C@@H](OC(C)=O)C(C)(C)[C@@H]5CC[C@]43C)[C@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   498.37 Volume:   546.497
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Van der Waals volume.
Dense:   0.912 LogP:   3.286
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.09
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.283
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   28.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.32 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.725 Fsp3:   0.875
MCE-18:   105.3
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.972 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.42 Promiscuous compounds:   0.27

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.281 MDCK Permeability:   -4.984
Pgp-inhibitor:   0.286 Pgp-substrate:   0.0
PAMPA:   0.249
?
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%):   0.375 30% Bioavailability (F30%):   0.254
50% Bioavailability (F50%):   0.931

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.108 MRP1:   0.93
Plasma Protein Binding (PPB):   97.508% Volume Distribution (VD):   -0.292
Fu: 2.474%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.669 BCRP inhibitor:   0.007
BSEP inhibitor:   0.996

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.696 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.052 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.298
HLM stability:   0.01
?
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):  3.575 Half-life (T1/2):  0.763

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.05
Human Hepatotoxicity (H-HT):  0.542 Drug-induced Liver Injury (DILI):  0.685
AMES Toxicity:  0.225 Rat Oral Acute Toxicity:  0.305
Maximum Recommended Daily Dose:  0.185 Skin Sensitization:  0.959
Carcinogencity:  0.852 Eye Corrosion:  0.481
Eye Irritation:  0.758 Respiratory Toxicity:  0.732
Drug-induced Neurotoxicity:  0.024 Ototoxicity:  0.446
Hematotoxicity:  0.665 Drug-induced Nephrotoxicity:  0.799
Genotoxicity:  0.629 RPMI-8226 Immunitoxicity:  0.019
A549 Cytotoxicity:  0.102 Hek293 Cytotoxicity:  0.136
BCF:   1.202
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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:   3.944
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.46
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.952
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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
NPO16051 Beilschmiedia erythrophloia Species Lauraceae Eukaryota Roots n.a. n.a. PMID[19072217]
NPO16051 Beilschmiedia erythrophloia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16051 Beilschmiedia erythrophloia Species Lauraceae 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 NPC532684 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 NPC4309
0.8983 High Similarity NPC160506
0.7302 Intermediate Similarity NPC271974
0.7302 Intermediate Similarity NPC247312
0.7143 Intermediate Similarity NPC31031
0.6883 Remote Similarity NPC248287
0.6883 Remote Similarity NPC234548
0.6866 Remote Similarity NPC478841
0.6866 Remote Similarity NPC488166
0.6709 Remote Similarity NPC8102
0.6709 Remote Similarity NPC66894
0.6613 Remote Similarity NPC68828
0.6562 Remote Similarity NPC192744
0.6515 Remote Similarity NPC201655
0.6462 Remote Similarity NPC264317
0.6462 Remote Similarity NPC294438
0.631 Remote Similarity NPC205392
0.631 Remote Similarity NPC105942
0.6286 Remote Similarity NPC600907
0.6119 Remote Similarity NPC488164
0.6119 Remote Similarity NPC264005
0.6094 Remote Similarity NPC305835
0.6094 Remote Similarity NPC246445
0.5882 Remote Similarity NPC488506
0.5882 Remote Similarity NPC220498
0.5821 Remote Similarity NPC119743
0.5821 Remote Similarity NPC98270
0.5783 Remote Similarity NPC475138
0.5775 Remote Similarity NPC486704
0.5775 Remote Similarity NPC474728
0.5735 Remote Similarity NPC5280
0.5714 Remote Similarity NPC16377
0.5652 Remote Similarity NPC24772
0.5652 Remote Similarity NPC261616
0.5652 Remote Similarity NPC213832
0.5634 Remote Similarity NPC601275
0.5581 Remote Similarity NPC101863
0.5556 Remote Similarity NPC488165
0.5507 Remote Similarity NPC80590
0.5493 Remote Similarity NPC151191
0.5479 Remote Similarity NPC608379
0.5465 Remote Similarity NPC51947
0.5435 Remote Similarity NPC204392
0.5429 Remote Similarity NPC211162
0.5429 Remote Similarity NPC183374
0.5429 Remote Similarity NPC304194
0.5426 Remote Similarity NPC275668
0.5417 Remote Similarity NPC475061
0.5375 Remote Similarity NPC486709
0.5366 Remote Similarity NPC88744
0.5352 Remote Similarity NPC195395
0.5352 Remote Similarity NPC168231
0.5294 Remote Similarity NPC84868
0.5286 Remote Similarity NPC611062
0.527 Remote Similarity NPC120840
0.5224 Remote Similarity NPC475509
0.5224 Remote Similarity NPC488509
0.5211 Remote Similarity NPC291373
0.5205 Remote Similarity NPC474719
0.519 Remote Similarity NPC606354
0.5181 Remote Similarity NPC486699
0.5139 Remote Similarity NPC471901
0.5139 Remote Similarity NPC277399
0.5119 Remote Similarity NPC486695
0.5114 Remote Similarity NPC486700
0.5114 Remote Similarity NPC275312
0.507 Remote Similarity NPC30583
0.507 Remote Similarity NPC481227
0.5068 Remote Similarity NPC2783
0.5068 Remote Similarity NPC30522
0.5067 Remote Similarity NPC169933
0.5067 Remote Similarity NPC600004
0.5063 Remote Similarity NPC602512
0.506 Remote Similarity NPC486706
0.506 Remote Similarity NPC486705
0.5059 Remote Similarity NPC290349
0.5055 Remote Similarity NPC488205

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC532684 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
0.8983 High Similarity NPD8035 Phase 2
0.6795 Remote Similarity NPD8034 Phase 2
0.6462 Remote Similarity NPD7520 Phase 1

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