B7NGA4 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiarlnp2372sm4voylzi7u6kkxhqweyfliyayrow3zbwywwd5i4emu/metadata.json
IPFS of structure file: 
bafybeicogrkb4nvuwtu3bntt76jia6sw37uccwnongupdhn3v7hkkcaghi/AF-B7NGA4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFfdda12F81300c334dA5663cd65680B4a9a77303
First NFT owner address (bech32): 
genesis1llw6ztupxqxrxnd9vc7dv45qkj56wucrcgj4a0
Current NFT ID #253665 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
253665
Accession (UniProt):
B7NGA4
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli O17:K52:H18 (strain UMN026 / ExPEC)

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 B7NGA4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7NGA4|MUTL_ECOLU DNA mismatch repair protein MutL OS=Escherichia coli O17:K52:H18 (strain UMN026 / ExPEC) OX=585056 GN=mutL PE=3 SV=1 MPIQVLPPQLANQIAAGEVVERPASVVKELVENSLDAGATRIDIDIERGGAKLIRIRDNGCGIKKDELALALARHATSKIASLDDLEAIISLGFRGEALASISSVSRLTLTSRIAEQQEAWQAYAEGRDMDVTVKPAAHPVGTTLEVLDLFYNTPARRKFLRTEKTEFNHIDEIIRRIALARFDVTINLSHNGKIVRQYRAVPEGGQKERRLGAICGTAFLEQALAIEWQHGDLTLRGWVADPNHTTPALAEIQYCYVNGRMMRDRLINHAIRQACEDKLGADQQPAFVLYLEIDPHQVDVNVHPAKHEVRFHQSRLVHDFIYQGVLSVLQQQLETPLPLDDDPQPAPRAIPENRVAAGRNHFAEPAVREPVAPRYTPAPASGSRPAAPWPNAQPGYQKQQGEVYRQLLQTPAPMQKPKAPEPQEPALAANSQSFGRVLTIVHSDCALLERGGNISLLALPVAERWLRQAQLTPGEAPVCAQPLLIPLRLKVSGEEKSALEKAQSALAELGIDFQSDAQHVTIRAVPLPLRQQNLQILIPELIGYLAKQSVFEPGNIAQWIARNLMSEHAQWSMAQAITLLADVERLCPQLVKTPPGGLLQSVDLHPAIKALKDE