A4FVI0 AF NFT

Zinc finger SWIM domain-containing protein 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibrmvpvxgrxubvyjkfcdk3woc6ql7mkauneaqjtvonlwozshuoppq/metadata.json
IPFS of structure file: 
bafybeihxelhjyyzfnfnlic7oqwz4cbepawdandckr2hmf44hrh2zc7ykea/AF-A4FVI0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3585a7211e5A6fD4E35fc8EBAe71C7dC52c7d56b
First NFT owner address (bech32): 
genesis1xkz6wgg7tfhafc6ler46uuw8m3fv04ttlsys30
Current NFT ID #542163 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
542163
Accession (UniProt):
A4FVI0
Name::
Zinc finger SWIM domain-containing protein 7
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 A4FVI0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4FVI0|ZSWM7_DANRE Zinc finger SWIM domain-containing protein 7 OS=Danio rerio OX=7955 GN=zswim7 PE=2 SV=2 MGSSLVSVAEQLLKDLQRTYSEIKQIPDDLLIALRFVFGPCALQALDLVDQHSVTCVSSPSGRKAFQVLGGSGRLYTCFTSCHYCPCPAFSFTVLRRNESLMCKHLLAVILSQAMGLCQQEQVSDQQMTHILSRQPEAST