A0KG66 AF NFT

Divalent metal cation transporter MntH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibndg4qbdtu5ylgzdv6e4zmhdyykimsoagb6prbdulczxtnx6vala/metadata.json
IPFS of structure file: 
bafybeidub2qqhybb4q6lkeo7flzh2eldj6ild7g4nxkefmti4noqsygtxy/AF-A0KG66-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9Ec94c6148F6b532E1677ED2BC7dce3c02B1e434
First NFT owner address (bech32): 
genesis1nmy5cc2g766n9ct80mftclww8sptrep57x9l0x
Current NFT ID #239815 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
239815
Accession (UniProt):
A0KG66
Name::
Divalent metal cation transporter MntH
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KG66 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KG66|MNTH_AERHH Divalent metal cation transporter MntH OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=mntH PE=3 SV=2 MQPALTTAIPARKFKLTLLGPAFIAAIGYIDPGNFATNIQAGSTFGYQLLWVVVWANLMAMLVQTLSAKLGIVTGKNLAEHIRDRLPKPAVWAYWVQAEIIAMATDLAEFIGAAVGFKLLLGVTLLEGAGITAVVTWGILMLQSRGQKPLEFVVGGLLLFVAAAYIVELVFSRPHLPSLLEGALFPGLPNSDAVYLAAGVLGATVMPHVIYLHSALTQHTQDQGSVPQRLHTTRVDVAIAMTIAGFVNLAMMAMAAAAFHSSGNQQVAELESAYQTLTPLLGQAAATLFGLSLVASGISSTVVGTLAGQVVMQGFVRFTIPLWLRRAITMAPAFVVIAMGLNTTEILVLSQVVLSFGIALALIPLLILTGDRALMGEYRNHPVTQAVGRLIVALVIGLNAYLLVAMI