Q05890 AF NFT

Metallothionein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidpiif5niv5w777jcckbm7i6k25vbcck5n4j5goeaqd5j7vlvxdla/metadata.json
IPFS of structure file: 
bafybeib2oz5uakntwwwostpqndm3qaobdfbkngm4o7hkob4dg4wslgp3lu/AF-Q05890-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x075C02A666A0C5e777e19513919077eafC193ADd
First NFT owner address (bech32): 
genesis1qawq9fnx5rz7walpj5feryrhat7pjwkawrw2u2
Current NFT ID #249179 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
249179
Accession (UniProt):
Q05890
Name::
Metallothionein
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q05890 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q05890|MT_XENLA Metallothionein OS=Xenopus laevis OX=8355 GN=mt-a PE=1 SV=1 MDPQDCKCETGASCSCGTTCSCSNCKCTSCKKSCCSCCPAECSKCSQGCHCEKGSKKCSCCN