A9M0G1 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidgxy2nyuyff53bcppmreoiw7kmwphfkter656ffduc2r56i4cwem/metadata.json
IPFS of structure file: 
bafybeia7vx6fi7ttapbri2taqbedmih44ntbu7tvsdxqv76m5kufj6vaye/AF-A9M0G1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1adfBe4cBefbdd71b75a4e97E381d13Eaf1fBd68
First NFT owner address (bech32): 
genesis1rt0mun97l0whrd66f6t78qw386h3l0tgr4pglf
Current NFT ID #253748 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253748
Accession (UniProt):
A9M0G1
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Neisseria meningitidis serogroup C (strain 053442)

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 A9M0G1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9M0G1|MUTL_NEIM0 DNA mismatch repair protein MutL OS=Neisseria meningitidis serogroup C (strain 053442) OX=374833 GN=mutL PE=3 SV=1 MPRIAALPDHLVNQIAAGEVVERPANALKEIVENSIDAGATAIDVELDGGGIRLIRVSDNGSGIHPDDIELALHRHATSKIKTLNDLEHVASMGFRGEGLASIASVSRLTLTSRQEDSSHATQVKAEDGKLSSPTAAAHPVGTTIEAAELFFNTPARRKFLKSENTEYAHCATMLERLALAHPHIAFSLKRDGKPVFKLPAQSLHERIAAIVGDDFQTASLEIDSGNGALRLYGAIAKPTFAKGKTDKQYCFVNHRFVRDKVMLHAVKQAYRDVLHNALTPAFVLFLDLPPEAVDVNVHPTKTEIRFRDSRQVHQLVFHTLNKALADTRADLTESVSNAGEVLHDITGVTPAPMPSENDSENLFDSASDYPTGNKPDTRNAFGSSGKTAPMPYQAARAPQQHSLSLRESRAAMNTYAELYKKTDDIDLELSRLEQARFGNMPSETPIPKTDTPLSDGIPSQSELPPLGFAIAQLLGIYILAQAEDSLLLIDMHAAAERVNYEKMKRQRQENGKLQSQRLLIPVTFAASHEECAALADYAETLAGFGLELSDMGGNTLAVRAVPAMLGKADVVSLAKDVLGELAQVGSSQTIEEHENHILATMSCHGSVRAGRQLTLPEMNALLRDMENTPRSNQCNHGRPTWVKLTLKELDALFLRGQ