A3QAD8 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifncy3bapxh7l55v5vtkas2mufaofspgltn5rk6oeg2go3nyocyl4/metadata.json
IPFS of structure file: 
bafybeicoqcyxcwcjmjr4vhutsfg34drx76xppf3nm4tl3srk6ruorqv5ti/AF-A3QAD8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x102561E808e785b64B48713C8D8B2D5820380F93
First NFT owner address (bech32): 
genesis1zqjkr6qgu7zmvj6gwy7gmzedtqsrsrunqpfpyj
Current NFT ID #253840 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253840
Accession (UniProt):
A3QAD8
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Shewanella loihica (strain ATCC BAA-1088 / PV-4)

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 A3QAD8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3QAD8|MUTL_SHELP DNA mismatch repair protein MutL OS=Shewanella loihica (strain ATCC BAA-1088 / PV-4) OX=323850 GN=mutL PE=3 SV=1 MTIRILPPQLANQIAAGEVVERPASVIKELVENSLDAGATRVDIEIDKGGSKLIKITDNGSGIPKEELSLALSRHATSKLASLDDLDAILSFGFRGEALASISSVSRLTLTSRTQEQSEAWQAYAEGSEMAVRVIPAAHPVGSTVEAADLFFNTPARRRFLKSDKTEFTHIDEWLKRIALVRSEIHFTLKHNGKQVRNYRPAKTEAQYLQRLAQVSGKAFADNALRVDCNHNGLSLSGYIQSPFSEMAVGDTQYFYVNGRLVRDRLVNHAVRQAFAQQLQGEQVAFVLMLNLDPHQVDVNVHPAKHEVRFHESRYVHDFILQALESALRQSSELAFEAALDTQVTDQNRSASYIRPLQTQQSDTGSNQIAHGDTEENALWLANERPAYGEREASRQAGGQRVQETQMSSYGSGQSGGRGRSYASTELPSQAAVDSYAQLMTTPGVSSQANQADDSHLPPMPQVLDGQYWLLVRGSELALLSLSCAAREVTRREIEAKLDAGLIGQPLLMPVSVKVDEDWQQTLVERELLVRKLGLELTIRLGQLIIKKVPPYLRQSQLASVIPEFLQWIRFEEPTTEALVNWLVNQSGEQFNSASRLWAGLMGLPESQQQEILSLAKVMPWQTWLGEQTSE