Q75QW1 AF NFT

Epithelial cell adhesion molecule

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig7tlhpgizgdsaosr2c3egampx5z5r5vkskquyma34bgf24bzgp6m/metadata.json
IPFS of structure file: 
bafybeigbmhu4asr5nrummusa6r3mhdp2nuhs5hodn7wwcvmeal6hgxrwwa/AF-Q75QW1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x473a866D01BaacC5B3b6058eD2e8CFa195DE4d05
First NFT owner address (bech32): 
genesis1guagvmgph2kvtvakqk8d96x05x2aung9ramqyn
Current NFT ID #118687 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
118687
Accession (UniProt):
Q75QW1
Name::
Epithelial cell adhesion molecule
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q75QW1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q75QW1|EPCAM_PIG Epithelial cell adhesion molecule OS=Sus scrofa OX=9823 GN=TACSTD1 PE=2 SV=1 MAPPQVLAFGLLLAAATAAVAAAQQGCVCENYKLTTNCSLNALGQCQCTSIGAQNSVICSKLASKCLVMKAEMTGSKAGRRLKPENAIQNNDGLYDPDCDENGLFKAKQCNGTSMCWCVNTAGVRRTDKDSEISCLERVRTYWIIIELKHKTREKPYDVTSLQNALKEVITDRYQLDPKYITNILYENDIITIDLVQNSSQKTLNEVDIADVAYYFEKDVKDESLFHSKRMDLRVNGELLDLDPGQTSIYYVDEKPPEFSMQGLQAGIIAVIAVVAIAIVAGIIVLIVSTKKRRAKYEKAEIKEMGEMHRELNA