Q765Z4 AF NFT

Endothelin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiccsb36hbdfr5gcmm2y4bofq6vqt3ykfzac3ryvgsmlkk2vthjihe/metadata.json
IPFS of structure file: 
bafybeibbnifen772qalep3cky7nwvvcuv6cwimf7f76e4fej3jvpzysd3m/AF-Q765Z4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x927Dca1Cb01AabDcD7D05D93F2C57435a5C5C603
First NFT owner address (bech32): 
genesis1jf7u589sr24ae47stkfl93t5xkjut3srzfcv3z
Current NFT ID #110368 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
110368
Accession (UniProt):
Q765Z4
Name::
Endothelin-3
Experimental Method:
Predicted structure
Sequence source:
CANIS LUPUS FAMILIARIS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q765Z4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q765Z4|EDN3_CANLF Endothelin-3 OS=Canis lupus familiaris OX=9615 GN=EDN3 PE=2 SV=1 MEPGLWLLFGLTVTSAAGLVPCPQPGDAGKSGVPGTPPTARSEGDIQEPVAMTAVQGPSPRSPEQEQELGRFGEQASKGGPVHGRARRCTCFTYKDKECVYYCHLDIIWINTPEQTVPYGLSNYRGSFRGRRSTGLFPQSPQPSKWTQRCACVQSQDSACLHFCTRTLAVSRNSRTATNPDKEEEPASRGNGGLRPTR