A2RGV3 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4bun2qk7dvnyu4enn4cy5a6dscixz3sp4jc6rwqqazld7frnp2a/metadata.json
IPFS of structure file: 
bafybeihjztb3dzn5edpczyhjlxdylid6z4uhs2jtxkcjoyinlw7fcmlbqa/AF-A2RGV3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeE8B4A6A73707D0abde1030217eB534b4F77F2c6
First NFT owner address (bech32): 
genesis1a69556nnwp7s400pqvpp066nfd8h0ukxqz5x04
Current NFT ID #253889 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253889
Accession (UniProt):
A2RGV3
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M5 (strain Manfredo)

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 A2RGV3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2RGV3|MUTL_STRPG DNA mismatch repair protein MutL OS=Streptococcus pyogenes serotype M5 (strain Manfredo) OX=160491 GN=mutL PE=3 SV=1 MTNIIELPEVLANQIAAGEVVERPASVVKELVENAIDAKSSQITVEIEESGLKMIQVTDNGEGMSHEDLPLSLRRHATSKIKSQSDLFRIRTLGFRGEALPSVASISKITIKTATKEVTHGSLLIATGGEIETLEAISTPTGTKIKVENLFYNTPARLKYMKSLQAELAHIVDVVNRLSLAHPEVAFTLISDGRQLTQTSGTGDLRQAIAGIYGLNTTKKMLAISNADLDFEVSGYVSLPELTRANRNYMTILVNGRYIKNFLLNRAILDGYGSKLMVGRFPIVVIDIQIDPYLADVNVHPTKQEVRISKERELMALISTAISESLKEQDLIPDALENLAKSSTRHFSKPEQTQLPLQSRGLYYDPQKNDFFVKESAVSEKIPETDFYFGAVDNSVKVEKAELLPHSEEVIGPSSVKHASRPQNTFTETDHPNLDLKNRQKLSQMLNRLENEEKSVFPELDYFGQMHGTYLFAQGKDGLFIIDQHAAQERVKYEYYRDKIGEADSSLQQLLVPYLFEFSGSDFINLQEKMALLNEVGIFLEVYGHNTFILREHPIWMKEEEIASGVYEMCDMLLLTNEVSIKTYRAELAIMMSCKRSIKANHSLDDYSARNLLLQLAQCQNPYNCPHGRPVLINFSKADMEKMFRRIQENHTSLRELGKY