Natural Product: NPC545618

Natural Product IDNPC545618
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3S,6aR,6bS,8aR,11R,12S,14bR)-4,4,6a,6b,8a,11,12,14b-octamethyl-1,2,3,4,4a,5,6,6a,6b,7,8,8a,9,10,11,12,12a,14,14a,14b-icosahydropicen-3-ol
IUPAC Name (3~{S},6~{a}~{R},6~{b}~{S},8~{a}~{R},11~{R},12~{S},14~{b}~{R})-4,4,6~{a},6~{b},8~{a},11,12,14~{b}-octamethyl-2,3,4~{a},5,6,7,8,9,10,11,12,12~{a},14,14~{a}-tetradecahydro-1~{H}-picen-3-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
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 FSLPMRQHCOLESF-LIYBYQANSA-N
Standard InCHI InChI=1S/C30H50O/c1-19-11-14-27(5)17-18-29(7)21(25(27)20(19)2)9-10-23-28(6)15-13-24(31)26(3,4)22(28)12-16-30(23,29)8/h9,19-20,22-25,31H,10-18H2,1-8H3/t19-,20+,22?,23?,24+,25?,27-,28+,29-,30-/m1/s1
SMILES C[C@@H]1CC[C@]2(C)CC[C@]3(C)C(=CCC4[C@@]5(C)CC[C@H](O)C(C)(C)C5CC[C@]43C)C2[C@H]1C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   426.39 Volume:   490.807
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Van der Waals volume.
Dense:   0.869 LogP:   6.318
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.625
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.81
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   26.0
TPSA:   20.23
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Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.389 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.695 Fsp3:   0.933
MCE-18:   99.517
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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:   0.836 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:   0.071
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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:   0.479 Promiscuous compounds:   0.005

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.26 MDCK Permeability:   -4.946
Pgp-inhibitor:   0.701 Pgp-substrate:   0.107
PAMPA:   0.898
?
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%):   0.54 30% Bioavailability (F30%):   0.033
50% Bioavailability (F50%):   0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.993 MRP1:   0.984
Plasma Protein Binding (PPB):   95.673% Volume Distribution (VD):   -0.035
Fu: 4.662%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.992 BCRP inhibitor:   0.581
BSEP inhibitor:   0.995

ADMET: Metabolism

CYP1A2-inhibitor:   0.006 CYP1A2-substrate:   0.726
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   0.983
CYP2C9-inhibitor:   0.03 CYP2C9-substrate:   0.015
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.974
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.804
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.95
HLM stability:   0.353
?
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):  11.819 Half-life (T1/2):  0.205

ADMET: Toxicity

hERG Blockers:  0.108 hERG Blockers (10um):  0.458
Human Hepatotoxicity (H-HT):  0.656 Drug-induced Liver Injury (DILI):  0.07
AMES Toxicity:  0.142 Rat Oral Acute Toxicity:  0.507
Maximum Recommended Daily Dose:  0.828 Skin Sensitization:  0.754
Carcinogencity:  0.8 Eye Corrosion:  0.009
Eye Irritation:  0.373 Respiratory Toxicity:  0.702
Drug-induced Neurotoxicity:  0.091 Ototoxicity:  0.625
Hematotoxicity:  0.137 Drug-induced Nephrotoxicity:  0.18
Genotoxicity:  0.157 RPMI-8226 Immunitoxicity:  0.046
A549 Cytotoxicity:  0.683 Hek293 Cytotoxicity:  0.716
BCF:   3.333
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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:   5.181
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.625
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.028
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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
NPO49828 Bursera cuneata Species Burseraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC545618 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 NPC27765
1.0 High Similarity NPC122418
1.0 High Similarity NPC491014
0.8113 Intermediate Similarity NPC40394
0.7963 Intermediate Similarity NPC95594
0.7679 Intermediate Similarity NPC40552
0.7593 Intermediate Similarity NPC132478
0.7544 Intermediate Similarity NPC477579
0.7358 Intermediate Similarity NPC290598
0.7358 Intermediate Similarity NPC30590
0.7037 Intermediate Similarity NPC120098
0.6833 Remote Similarity NPC610937
0.6724 Remote Similarity NPC602872
0.6552 Remote Similarity NPC291379
0.6379 Remote Similarity NPC101475
0.6316 Remote Similarity NPC82477
0.629 Remote Similarity NPC86372
0.6271 Remote Similarity NPC235341
0.6271 Remote Similarity NPC290495
0.619 Remote Similarity NPC51700
0.619 Remote Similarity NPC171203
0.619 Remote Similarity NPC88716
0.619 Remote Similarity NPC307426
0.619 Remote Similarity NPC98442
0.619 Remote Similarity NPC68160
0.619 Remote Similarity NPC242468
0.6182 Remote Similarity NPC469770
0.6102 Remote Similarity NPC196753
0.6094 Remote Similarity NPC18872
0.6094 Remote Similarity NPC290614
0.5968 Remote Similarity NPC246708
0.5968 Remote Similarity NPC610552
0.5938 Remote Similarity NPC307335
0.5938 Remote Similarity NPC74855
0.5938 Remote Similarity NPC195019
0.5902 Remote Similarity NPC470588
0.5833 Remote Similarity NPC311078
0.5833 Remote Similarity NPC34177
0.5781 Remote Similarity NPC329943
0.5758 Remote Similarity NPC49776
0.5758 Remote Similarity NPC63118
0.5758 Remote Similarity NPC474436
0.5738 Remote Similarity NPC253807
0.5738 Remote Similarity NPC158662
0.5692 Remote Similarity NPC7260
0.5692 Remote Similarity NPC210037
0.5692 Remote Similarity NPC120968
0.5692 Remote Similarity NPC227467
0.5692 Remote Similarity NPC273621
0.5692 Remote Similarity NPC112866
0.5667 Remote Similarity NPC474989
0.5645 Remote Similarity NPC292015
0.5645 Remote Similarity NPC159168
0.5625 Remote Similarity NPC477872
0.5556 Remote Similarity NPC480950
0.5538 Remote Similarity NPC480946
0.5538 Remote Similarity NPC187722
0.5538 Remote Similarity NPC274330
0.5538 Remote Similarity NPC130577
0.5538 Remote Similarity NPC142415
0.5538 Remote Similarity NPC102683
0.5538 Remote Similarity NPC473242
0.5538 Remote Similarity NPC290690
0.5522 Remote Similarity NPC98874
0.5484 Remote Similarity NPC471897
0.5455 Remote Similarity NPC182797
0.5455 Remote Similarity NPC488519
0.5455 Remote Similarity NPC52169
0.5455 Remote Similarity NPC488562
0.5455 Remote Similarity NPC606443
0.5443 Remote Similarity NPC477292
0.541 Remote Similarity NPC295131
0.5397 Remote Similarity NPC107039
0.5385 Remote Similarity NPC479748
0.5323 Remote Similarity NPC237344
0.5303 Remote Similarity NPC272075
0.5303 Remote Similarity NPC304285
0.5303 Remote Similarity NPC2539
0.5294 Remote Similarity NPC202728
0.5294 Remote Similarity NPC158059
0.5294 Remote Similarity NPC293564
0.5238 Remote Similarity NPC480924
0.5231 Remote Similarity NPC606009
0.5217 Remote Similarity NPC263393
0.5172 Remote Similarity NPC472805
0.5172 Remote Similarity NPC90979
0.5156 Remote Similarity NPC230295
0.5156 Remote Similarity NPC238992
0.5156 Remote Similarity NPC98386
0.5152 Remote Similarity NPC127855
0.5147 Remote Similarity NPC61543
0.5147 Remote Similarity NPC293048
0.5147 Remote Similarity NPC225585
0.5147 Remote Similarity NPC184006
0.5082 Remote Similarity NPC601696
0.5072 Remote Similarity NPC228784
0.5072 Remote Similarity NPC324341
0.5072 Remote Similarity NPC164349
0.5072 Remote Similarity NPC601810
0.5068 Remote Similarity NPC171208

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC545618 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
0.5224 Remote Similarity NPD7645 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