P16374 AF NFT

Zinc finger protein 60

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihazsn73f3f2c2d267vk72ktrbzjwinyctwkoxrnunymwyw6umeiy/metadata.json
IPFS of structure file: 
bafybeiaz6gzrcdn53hiels7daxp2xiuv4cbrtfbeg55t5uwcfl6ltt23nq/AF-P16374-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #540401 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
540401
Accession (UniProt):
P16374
Name::
Zinc finger protein 60
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P16374 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16374|ZFP60_MOUSE Zinc finger protein 60 OS=Mus musculus OX=10090 GN=Zfp60 PE=2 SV=2 MANSSSQHMVCGSVTFRDVAVDFSQEEWACLDATQKVLYRNIMLETYSNLVAVVGRCIPKPDLIVLLEPEKEPWMAVKKETGRPSQGLETGFEAENRSPKNHVYNKKLPKQTIQQLSKTSDVQGVSVSNGPGYSVIKEPQNYQEGDANRNITNKKEMSTYTSKTLAHNKEKPYKCKDCGKCFGCKSNLHQHESIHTGEKPYECKDCGKTFRLPQMLSRHQKSHSDERPFECNICGKSFHLPTLLQYHKNIHTGLKPFECEECGKSFKSFNRISTLFQHRTIHAGMKPYKCNVCGKAFNRRSNLLQHQKIHSEDRPFHCKVCGKAFTVLAQLTRHENIHTEDKSFECKQCGKIFSNGSYLLRHYDTHTNEKPFECNICGKAFRLHLYLSEHQKTHTDEKPFKCKLCESAFRRKYQLSEHQRIHTDGKPYQCKDCWEFFRRRSNFIEHQSIHTGKKPFECKDCGKVFRLNIHLIRHQRFHSDEKPFECKECGKAFHFSSQLNNHKTSHTGQTPFECKECGKSFKRVSSLVEHRIIHSGVKPYKCNACGRAFNRRSNLMQHEKIHSDERPFECKDCGKAFTVLAQLTRHQTIHNGKKSYECEQCGSAFRLPYQLTQHQRIHYDVKPFQCKECGRAFVRSTGLRIHERIHTGEKPFQCKECGEAFQYHYQFLGHFRIHTGKNPYECSECGKYFTYGRDLKVHQSIHNLEKP