Q2HVD6 AF NFT

Putative N6-adenosine-methyltransferase MT-A70-like

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigigkhubd4kxnzkqe77vurn5enjs5et2vbyhdfst5ihpvvqwt6sem/metadata.json
IPFS of structure file: 
bafybeifzjcl3fq5vpazdutplksfpcxdrpq323jjer5ab3j7lmxj4zxmgou/AF-Q2HVD6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5af3D467b030791faD852c6e2259555Bc59cf6B2
First NFT owner address (bech32): 
genesis1tteageasxpu3ltv993hzyk24t0zeea4jm0lv7u
Current NFT ID #246650 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
246650
Accession (UniProt):
Q2HVD6
Name::
Putative N6-adenosine-methyltransferase MT-A70-like
Experimental Method:
Predicted structure
Sequence source:
MEDICAGO TRUNCATULA

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 Q2HVD6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2HVD6|MTA70_MEDTR Putative N6-adenosine-methyltransferase MT-A70-like OS=Medicago truncatula OX=3880 GN=MtrDRAFT_AC148918g15v1 PE=3 SV=1 MEMETDEGINSLKARIETQHKSHMYMLSSVQSVIPNFVSSLDLSLKVLSSFNHRPFAPTPPLTNFNPPKSSSLQQLPQKPSVKTLKTSLVVTTNPVLEKVTPLSVVLSMVAVCLLSRLPFMEIDSSTLWRKLENDETFTPQDKAAFQELAGDSGGPTLAVEIALRSMADDNGAVELEEFAVSGKSRIMVLNIDRTRLLRQLPETAQHQLQQQQDELSLGDGNMNQNQQQIAKCSMNLEDVDALINKKSFREMQKYETAKELLKIIQTPSIREAAVAAKFKTKGGSQMRPYCDLPTKEDCRRRTGSFIACNKLHFRRIIALHTDINLGDCPFLRTCRHMNTCKYVHYEEDPTPDLPPTMMCAPPPPLKPLKQQRAEYCSEAELGQPQWINCDIRNFRMDILGKFGVIMADPPWDIHMELPYGTMADDEMRTLNVPALQTHGLIFLWVTGRAMELGRECLERWGYKCVEEIIWVKTNQLQRIIRTGRTGHWLNHSKEHCLVGIKGSPEVNRNIDTNVIVSEVRETSRKPDEMYAMMERISPGTRKVELFARMHNTHAGWMSLGNQLSGVRLVDEGLRARFKAAYPDVEVQPASPSRASAMELDSSVAAQTTTSAMM