A6ZTU2 AF NFT

Protein ZIP2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibqsvukwujjfnwg72xwsfzv6f3njm2wnxktnjhoth5rri24n6pcim/metadata.json
IPFS of structure file: 
bafybeiedj535sswcktskczq3v3srr3ndqi47pre4q7a6ek22s5fh25hzzi/AF-A6ZTU2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #540654 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
540654
Accession (UniProt):
A6ZTU2
Name::
Protein ZIP2
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN YJM789)

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 A6ZTU2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6ZTU2|ZIP2_YEAS7 Protein ZIP2 OS=Saccharomyces cerevisiae (strain YJM789) OX=307796 GN=ZIP2 PE=3 SV=1 MIIERWEVKLSKCNQNVGGYSVLSGNLKENIKLGRRAQKYLKELRNLQLKPLKIGGYENCGTINGEEYFLEVIHITSGRQKIDVAVGKTWNVTNIENDNKEELQYELFKEKLKVEKQDMLFFSWMKSLSVQLNAPLHQKMTEHGLADDNTRLEWFNIPLLRRSQYRKKVPYPSLRQMSSVLEVQCSTLTEEKLNFCVGFSDKPLSEWKPQIFEQTYNRYRLQRISPEKSFKYKSRCSKYNFKTSSQSWVVKVPEHDQQLNTFEKRSDELFDAQFNKLEFFKIRMKKLKKNKPIEKKNYKIWCLEKEDLKDLVWDPLKRICNHSRYAIFEHVTINREAYSIKPLRLTFQKLDSGSLDLIDNQKKTFGSIKLAMSMPDVKKTENQSIEESERHDETAIETQEFDENDCLSSKADINTSLAPQKRSFIDNELMSMLVTKKKRKKDKDVSDTGISSTSYLINSGTYANSHIEIPTSNSVYNGKEDCSFNNYSVKHSILEEDIENKCIAVNENKVIENQKVIQSLCKNSHLDLIEQSYFGECDFIINHSTCVYKIQASRFMQLRNNGSLHYDKAVNDLLTEFQRVIIIVEFSEIIQDVDPDLFWKIKLYLLNSRVDVFFIHETTDFFIDWMKYFIAKWAFSYNDEKEKNIANADILLDLGFNILLVRKIFQTYSLEEFFMAIIKEESKAVKMLTVSQMTRLKKLLTLEW