Q7VLN6 AF NFT

tRNA(Met) cytidine acetyltransferase TmcA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeico4ife36u7k2udn3u3jz3cktvch6yv4szkpv2yixzekbs5h27bpm/metadata.json
IPFS of structure file: 
bafybeifv65vi77vzn5ebeamagzh5daylyjxaic2yt6ywzcfhl6a7wxvbuq/AF-Q7VLN6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0433195EC289060A351eF61bf5e31FE1D60CBA38
First NFT owner address (bech32): 
genesis1qse3jhkz3yrq5dg77cdltcclu8tqew3c04w984
Current NFT ID #468476 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
468476
Accession (UniProt):
Q7VLN6
Name::
tRNA(Met) cytidine acetyltransferase TmcA
Experimental Method:
Predicted structure
Sequence source:
Haemophilus ducreyi (strain 35000HP / ATCC 700724)

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 Q7VLN6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7VLN6|TMCA_HAEDU tRNA(Met) cytidine acetyltransferase TmcA OS=Haemophilus ducreyi (strain 35000HP / ATCC 700724) OX=233412 GN=tmcA PE=3 SV=1 MRQLVILSTMPPIQGGVLLNSQNFSKAKQFLGQEYPFALYDMRSENGICFNLEAFAIIVGTIQENGTLYLICPNWHSVEQQIDVDAIRWNGGVAIACPHFFQHFKRLINKFGFEVTSRPQQPFIKTAPSYPAKLIQFTDEQQNILQKLPLDPAEIHIITAARGRGKSTLAGKLAEQFAKTEQVILTAHRSSSIQKILQTASINIPFFAPDKLLNLIETKQISADHLLFIDEAACIPLPILQQLGNYFKKVILTTTTQNYEGTGRGFKLKLVKQLHRTTKEWQLFQPLRWSNHDRLEQFTNELLLLNDELIPLDQNSQFYHLLANAHYKTTATDLRRLFDADQQLFHQCYDKNQRLMAGIWAVKEGELSQDLAEAIWAGKRRPAGNLVAQYLCCQGNLIEACQLKSIRISRIAVQPDLQNQGIGSQLVTDFMQKMQKNNKNRPLDFISVSFGITPHLLTFWRRNGFQLVQITPTKEASSGYHSAMMLYPLSQQGKQFVTKAVKQFERDLALQPFYPTLKNCLAIPAQVENEMNQDDWQNLHGFAFAQRSLANCYTSLKRLYITHQAQLTILAPLFTHRYPANQKVWLQQCRIAIRPFIQ