Q1C258 AF NFT

Guanylate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6dfmef7ogw47jzqnzcl32x666v5j3sb5p2yrrmd6auyu544qg3q/metadata.json
IPFS of structure file: 
bafybeigmanbacegneketyvcl2aacpnwvkwee73chhhqiboimt3w5pqzl3m/AF-Q1C258-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x857eEd070342cD58087B60029728Df633EB345b8
First NFT owner address (bech32): 
genesis1s4lw6pcrgtx4szrmvqpfw2xlvvltx3dc3pavkv
Current NFT ID #202596 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
202596
Accession (UniProt):
Q1C258
Name::
Guanylate kinase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C258 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C258|KGUA_YERPA Guanylate kinase OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=gmk PE=3 SV=1 MVQGTLYIVSAPSGAGKSSLIQALLKTQPLYDTQVSISHTTRAKRPGENHGEHYFFVSEKEFCQMIDDDAFLEHAKVFENYYGTSRLAIEQVLATGVDVFLDIDWQGAQQIRAKMPTARSIFILPPSKTELDRRLRGRGQDSEEVIAKRMEQAVAEMAHYAEYDYLIVNDDFNLALSDLKTIIRAERLRLGRQKQRHDALISKLLAD