P32777 AF NFT

Variable large protein 17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiclbu4ltvaakenovktwobnpglrzobzc6atflbvu3d236hqkrbhrgm/metadata.json
IPFS of structure file: 
bafybeicyg5gf5wtera72so5gfeogjv3jvpxkvblog4v523icqt7oqnp2gq/AF-P32777-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #497047 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497047
Accession (UniProt):
P32777
Name::
Variable large protein 17
Experimental Method:
Predicted structure
Sequence source:
Borrelia hermsii

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 P32777 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P32777|VLP17_BORHE Variable large protein 17 OS=Borrelia hermsii OX=140 GN=vlp17 PE=3 SV=1 MRKRISAIIMTLFMVLVSCNSGGVAEDPKTVYLTSIANLGKGFLDVFVTFGDMVTGAFGIKADTKKSDIGKYFTDIESTMTSVKKKLQDEVAKNGNYPKVKTAVDEFVAILGKIEKGAKEASKGATGDVIIGNTVKNGDAVPGEATSVNSLVKGIKEIVGVVLKEGKADADATKDDSKKDIGKLFTATTDANRADNAAAQAAAASIGAVTGADILQAIVQSKENPVANSTDGIEKATDAAEIAVAPAKDNKKEIKDGAKKDAVIAAGIALRAMAKNGTFSIKNNEDAAVTTINSAAASAVNKILSTLIIAIRNTVDSGLKTINEALATVKQEDKSVEATNTAEATTSGQQAKN