NPASS Compound

Natural Product: NPC470631

Natural Product ID	NPC470631
Common Name ? The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.	Nudicauline
IUPAC Name	n.a.
Synonyms	Nudicauline
Synthetic Gene Cluster	n.a.
ChEMBL Identifier	CHEMBL2112854
PubChem CID	71450902
Chemical Classification	CHEMONTID:0000000 [Organic compounds] [CHEMONTID:0000012] Lipids and lipid-like molecules [CHEMONTID:0000259] Prenol lipids [CHEMONTID:0001551] Diterpenoids [CHEMONTID:0003788] Aconitane-type diterpenoid alkaloids

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

Chemical Representations

RDKit 3D 101108 0 0 0 0 0 0 0 0999 V2000 -2.5174 1.0931 -3.7139 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.0783 0.9876 -3.3314 C 0 0 0 0 0 0 0 0 0 0 0 0 -0.8221 0.4116 -2.0786 N 0 0 0 0 0 0 0 0 0 0 0 0 0.5027 0.2902 -1.6588 C 0 0 0 0 0 0 0 0 0 0 0 0 0.7532 -0.6194 -0.4975 C 0 0 2 0 0 0 0 0 0 0 0 0 1.1320 -1.9799 -1.0520 C 0 0 0 0 0 0 0 0 0 0 0 0 0.0192 -2.3044 -2.0220 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.2558 -2.4079 -1.2013 C 0 0 1 0 0 0 0 0 0 0 0 0 -1.6149 -1.2029 -0.4479 C 0 0 2 0 0 0 0 0 0 0 0 0 -1.8772 0.0512 -1.2416 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.0025 1.0940 -0.1546 C 0 0 2 0 0 0 0 0 0 0 0 0 -1.9477 2.3948 -0.6189 O 0 0 0 0 0 0 0 0 0 0 0 0 -0.7850 0.7660 0.7213 C 0 0 2 0 0 0 0 0 0 0 0 0 -0.4588 -0.6783 0.4061 C 0 0 0 0 0 0 0 0 0 0 0 0 -1.0149 1.0319 2.0408 O 0 0 0 0 0 0 0 0 0 0 0 0 -0.3088 2.0573 2.6048 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.1977 0.9140 0.7450 C 0 0 2 0 0 0 0 0 0 0 0 0 -3.2076 -0.4357 1.3649 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.8025 -1.5101 0.4137 C 0 0 0 0 0 0 0 0 0 0 0 0 -4.0653 -1.8096 -0.3206 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.1957 -1.0202 0.3627 C 0 0 1 0 0 0 0 0 0 0 0 0 -4.6315 -0.8837 1.7337 C 0 0 2 0 0 0 0 0 0 0 0 0 -5.2754 0.0314 2.5576 O 0 0 0 0 0 0 0 0 0 0 0 0 -5.7007 -0.3600 3.8024 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.4930 -1.5525 4.1676 O 0 0 0 0 0 0 0 0 0 0 0 0 -6.3961 0.5220 4.7677 C 0 0 0 0 0 0 0 0 0 0 0 0 -5.3716 0.2746 -0.3574 C 0 0 2 0 0 0 0 0 0 0 0 0 -4.4751 1.3682 0.1169 C 0 0 0 0 0 0 0 0 0 0 0 0 -6.7265 0.6154 -0.2736 O 0 0 0 0 0 0 0 0 0 0 0 0 -7.3588 0.6223 -1.4874 C 0 0 0 0 0 0 0 0 0 0 0 0 -2.9888 1.8285 1.8131 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.1967 -2.9224 -2.0286 O 0 0 0 0 0 0 0 0 0 0 0 0 -2.4565 -4.2780 -1.8049 C 0 0 0 0 0 0 0 0 0 0 0 0 1.9467 -0.1779 0.3341 C 0 0 0 0 0 0 0 0 0 0 0 0 3.0572 -0.2183 -0.5858 O 0 0 0 0 0 0 0 0 0 0 0 0 4.3428 0.1247 -0.1924 C 0 0 0 0 0 0 0 0 0 0 0 0 4.5248 0.4730 0.9816 O 0 0 0 0 0 0 0 0 0 0 0 0 5.4606 0.0786 -1.1343 C 0 0 0 0 0 0 0 0 0 0 0 0 5.2662 -0.3109 -2.4477 C 0 0 0 0 0 0 0 0 0 0 0 0 6.3267 -0.3575 -3.3529 C 0 0 0 0 0 0 0 0 0 0 0 0 7.5977 -0.0133 -2.9516 C 0 0 0 0 0 0 0 0 0 0 0 0 7.7551 0.3703 -1.6352 C 0 0 0 0 0 0 0 0 0 0 0 0 6.7328 0.4230 -0.7330 C 0 0 0 0 0 0 0 0 0 0 0 0 6.9066 0.8220 0.6248 N 0 0 0 0 0 0 0 0 0 0 0 0 6.7736 2.1905 1.0288 C 0 0 0 0 0 0 0 0 0 0 0 0 6.1575 3.0757 0.3956 O 0 0 0 0 0 0 0 0 0 0 0 0 7.4845 2.3498 2.3012 C 0 0 0 0 0 0 0 0 0 0 0 0 7.5066 0.9659 2.8786 C 0 0 1 0 0 0 0 0 0 0 0 0 7.2151 0.0589 1.7590 C 0 0 0 0 0 0 0 0 0 0 0 0 7.2195 -1.2093 1.7370 O 0 0 0 0 0 0 0 0 0 0 0 0 8.8820 0.7154 3.4733 C 0 0 0 0 0 0 0 0 0 0 0 0 -3.0869 1.7292 -3.0268 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.9404 0.0811 -3.8521 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.5788 1.5854 -4.7169 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.6010 0.3241 -4.1140 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.5948 1.9739 -3.4958 H 0 0 0 0 0 0 0 0 0 0 0 0 0.9329 1.2997 -1.4033 H 0 0 0 0 0 0 0 0 0 0 0 0 1.1395 -0.0573 -2.5067 H 0 0 0 0 0 0 0 0 0 0 0 0 1.1529 -2.7687 -0.2946 H 0 0 0 0 0 0 0 0 0 0 0 0 2.0660 -1.8525 -1.6152 H 0 0 0 0 0 0 0 0 0 0 0 0 0.2251 -3.3458 -2.3830 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.0445 -1.6692 -2.8947 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.9983 -3.2282 -0.4596 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.8188 0.0046 -1.8174 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.2200 2.5605 -1.2580 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.0148 1.4894 0.3834 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.2980 -1.2848 1.2987 H 0 0 0 0 0 0 0 0 0 0 0 0 0.7718 1.8894 2.5708 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.5048 2.9741 1.9759 H 0 0 0 0 0 0 0 0 0 0 0 0 -0.6811 2.3122 3.6147 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.6437 -0.5638 2.2932 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.5268 -2.4184 1.0208 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.0953 -1.5450 -1.3706 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.3863 -2.8722 -0.2162 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.1360 -1.6076 0.3909 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.5140 -1.8900 2.1751 H 0 0 0 0 0 0 0 0 0 0 0 0 -7.4577 0.2084 4.8012 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.2588 1.5965 4.5310 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.9743 0.2736 5.7806 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.1793 0.0953 -1.4371 H 0 0 0 0 0 0 0 0 0 0 0 0 -4.1996 2.0161 -0.7611 H 0 0 0 0 0 0 0 0 0 0 0 0 -5.0930 2.0380 0.7701 H 0 0 0 0 0 0 0 0 0 0 0 0 -8.4180 0.9016 -1.3130 H 0 0 0 0 0 0 0 0 0 0 0 0 -7.3576 -0.3462 -2.0179 H 0 0 0 0 0 0 0 0 0 0 0 0 -6.9218 1.4414 -2.1098 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.1422 2.7281 1.3873 H 0 0 0 0 0 0 0 0 0 0 0 0 -1.4666 -4.7833 -2.0095 H 0 0 0 0 0 0 0 0 0 0 0 0 -3.2194 -4.6752 -2.4929 H 0 0 0 0 0 0 0 0 0 0 0 0 -2.7314 -4.4128 -0.7566 H 0 0 0 0 0 0 0 0 0 0 0 0 1.8487 0.8151 0.7694 H 0 0 0 0 0 0 0 0 0 0 0 0 2.1825 -0.8939 1.1306 H 0 0 0 0 0 0 0 0 0 0 0 0 4.2639 -0.5810 -2.7593 H 0 0 0 0 0 0 0 0 0 0 0 0 6.1245 -0.6675 -4.3663 H 0 0 0 0 0 0 0 0 0 0 0 0 8.4284 -0.0490 -3.6577 H 0 0 0 0 0 0 0 0 0 0 0 0 8.7585 0.6517 -1.2832 H 0 0 0 0 0 0 0 0 0 0 0 0 6.9775 3.0621 2.9906 H 0 0 0 0 0 0 0 0 0 0 0 0 8.5085 2.7424 2.1228 H 0 0 0 0 0 0 0 0 0 0 0 0 6.7123 0.8901 3.6629 H 0 0 0 0 0 0 0 0 0 0 0 0 9.1962 -0.3308 3.3738 H 0 0 0 0 0 0 0 0 0 0 0 0 8.8655 0.9908 4.5418 H 0 0 0 0 0 0 0 0 0 0 0 0 9.6087 1.4185 2.9952 H 0 0 0 0 0 0 0 0 0 0 0 0 1 2 1 0 2 3 1 0 3 4 1 0 4 5 1 0 5 6 1 0 6 7 1 0 7 8 1 0 8 9 1 0 9 10 1 0 10 11 1 0 11 12 1 6 11 13 1 0 13 14 1 0 13 15 1 0 15 16 1 0 11 17 1 0 17 18 1 0 18 19 1 0 19 20 1 0 20 21 1 0 21 22 1 0 22 23 1 0 23 24 1 0 24 25 2 0 24 26 1 0 21 27 1 0 27 28 1 0 27 29 1 0 29 30 1 0 17 31 1 1 8 32 1 0 32 33 1 0 5 34 1 1 34 35 1 0 35 36 1 0 36 37 2 0 36 38 1 0 38 39 2 0 39 40 1 0 40 41 2 0 41 42 1 0 42 43 2 0 43 44 1 0 44 45 1 0 45 46 2 0 45 47 1 0 47 48 1 0 48 49 1 0 49 50 2 0 48 51 1 0 10 3 1 0 28 17 1 0 43 38 1 0 49 44 1 0 14 5 1 0 22 18 1 0 14 9 1 0 9 19 1 1 1 52 1 0 1 53 1 0 1 54 1 0 2 55 1 0 2 56 1 0 4 57 1 0 4 58 1 0 6 59 1 0 6 60 1 0 7 61 1 0 7 62 1 0 8 63 1 1 10 64 1 0 12 65 1 0 13 66 1 6 14 67 1 0 16 68 1 0 16 69 1 0 16 70 1 0 18 71 1 0 19 72 1 0 20 73 1 0 20 74 1 0 21 75 1 1 22 76 1 1 26 77 1 0 26 78 1 0 26 79 1 0 27 80 1 6 28 81 1 0 28 82 1 0 30 83 1 0 30 84 1 0 30 85 1 0 31 86 1 0 33 87 1 0 33 88 1 0 33 89 1 0 34 90 1 0 34 91 1 0 39 92 1 0 40 93 1 0 41 94 1 0 42 95 1 0 47 96 1 0 47 97 1 0 48 98 1 1 51 99 1 0 51100 1 0 51101 1 0 M END

Standard InCHIKey	IPWQJEONCUFCOR-QUVNMDIPSA-N
Standard InCHI	InChI=1S/C38H50N2O11/c1-7-39-17-35(18-50-33(44)21-10-8-9-11-24(21)40-27(42)14-19(2)32(40)43)13-12-26(48-5)37-23-15-22-25(47-4)16-36(45,28(23)29(22)51-20(3)41)38(46,34(37)39)31(49-6)30(35)37/h8-11,19,22-23,25-26,28-31,34,45-46H,7,12-18H2,1-6H3/t19-,22+,23?,25-,26-,28?,29-,30?,31-,34?,35-,36+,37-,38+/m0/s1
SMILES	CCN1C[C@@]2(CC[C@@H]([C@]34C1[C@](O)([C@H](C23)OC)[C@@]1(C2C4C[C@@H]([C@@H]2OC(=O)C)[C@H](C1)OC)O)OC)COC(=O)c1ccccc1N1C(=O)C[C@@H](C1=O)C

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
NPO32441	delphinium sp.	Species	Ranunculaceae	Eukaryota	n.a.	n.a.	n.a.	PMID[9748371]
NPO32441	delphinium sp.	Species	Ranunculaceae	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

Activity Type	# Activity
IC50	1
EC50	1

Activity Type	# Activity
Individual protein	1
Others	1

Molecular-level activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference
NPT414	Individual protein	Neuronal acetylcholine receptor protein alpha-7 subunit	Rattus norvegicus	IC50	=	1.7	nM	Open TG-GATES in vivo data: Biochemistry

In vitro activity

Target ID	Target Type	Target Name	Target Organism	Activity Type	Activity Relation	Value	Unit	Reference
NPT2	Others	Unspecified	n.a.	EC50	=	9772.37	nM	PMID[7595589]

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
-	Mus musculus	LD50	=	2.7	mg.kg-1	PMID[20521782]

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

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 NPC470631 and all remaining natural products in the NPASS database.
● The right table: Most similar natural products (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	14019
0.1-0.2	34617
0.2-0.3	1161
0.3-0.4	37
0.4-0.5	7
0.5-0.6	5
0.6-0.7	4
0.7-0.8	0
0.8-0.85	1
0.85-0.9	0
0.9-0.95	3
0.95-1	1

Similarity Score	Similarity Level	Natural Product ID
0.967	High Similarity	NPC481815
0.9348	High Similarity	NPC481816
0.9333	High Similarity	NPC35390
0.9333	High Similarity	NPC611189
0.8298	Intermediate Similarity	NPC473781
0.7723	Intermediate Similarity	NPC481814
0.7525	Intermediate Similarity	NPC475316
0.75	Intermediate Similarity	NPC473486
0.6703	Remote Similarity	NPC476501
0.67	Remote Similarity	NPC223590
0.6161	Remote Similarity	NPC106593
0.6036	Remote Similarity	NPC473667
0.5196	Remote Similarity	NPC476497
0.5155	Remote Similarity	NPC474210
0.5052	Remote Similarity	NPC96080
0.5052	Remote Similarity	NPC99905
0.5052	Remote Similarity	NPC208118

Similar Clinical/Approved Drugs

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

● The left chart: Distribution of similarity level between NPC470631 and all drugs/candidates.
● The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

range	Tanimoto Coefficient
0-0.1	3562
0.1-0.2	5535
0.2-0.3	53
0.3-0.4	0
0.4-0.5	0
0.5-0.6	0
0.6-0.7	0
0.7-0.8	0
0.8-0.85	0
0.85-0.9	0
0.9-0.95	0
0.95-1	0

Similarity Score	Similarity Level	Drug ID	Developmental Stage
		NPD

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