P68497 AF NFT

Metallothionein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajybls7ruqmlzmacc5k4pfnxda3nd2ykn2qvpqiy77ylbcfawejy/metadata.json
IPFS of structure file: 
bafybeiagqfud6mgcv3amnndutztcxfaj4qi6grbnm6i6m6yabxnpszdfpy/AF-P68497-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa42b77e44c8e40c55Bc7cD30451A215C5d1d49d2
First NFT owner address (bech32): 
genesis15s4h0ezv3eqv2k78e5cy2x3pt3w36jwj7l06gh
Current NFT ID #249148 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
249148
Accession (UniProt):
P68497
Name::
Metallothionein
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 P68497 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P68497|MT_CHICK Metallothionein OS=Gallus gallus OX=9031 PE=1 SV=1 MDPQDCTCAAGDSCSCAGSCKCKNCRCRSCRKSCCSCCPAGCNNCAKGCVCKEPASSKCSCCH