A1SA23 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieo76grgmps6kpahvv2miixrvhpl4xyo3omaw3sktnqqx6fo6zhua/metadata.json
IPFS of structure file: 
bafybeigqchkf5xxqicjtsvk5f6ehggvdlo7mluiku7o2htijasdauiegie/AF-A1SA23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfD2aa30896c43ba48ACc736586610789048c2c7a
First NFT owner address (bech32): 
genesis1l542xzykcsa6fzkvwdjcvcg83yzgctr6dmckr0
Current NFT ID #253833 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253833
Accession (UniProt):
A1SA23
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Shewanella amazonensis (strain ATCC BAA-1098 / SB2B)

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 A1SA23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1SA23|MUTL_SHEAM DNA mismatch repair protein MutL OS=Shewanella amazonensis (strain ATCC BAA-1098 / SB2B) OX=326297 GN=mutL PE=3 SV=1 MAIQVLPPQLANQIAAGEVVERPASVIKELVENSLDAGATRVDIDIDKGGSKLIRIRDNGGGIPKAELALALARHATSKVQTLEDLEAILSFGFRGEALASISSVSRLTLTSRTTEQAEAWQAYAEGSEVAIRVMPAAHPVGTTIEVADLFFNTPARRRFLKSDKTEFTHIDEWLKRIALIRSDVHFSLSHNGKPVRQYRCAATDTQYLQRLAQVAGRAFADSAIKVDCQHDGMGLSGYLQSPALSDMVDCHYFYVNGRLIRDRLVNHAVRQAFGELGTFEQPAFVLSLTLDPHQVDVNVHPAKHEVRFHQARYVHDFILQVLQSALSQMQDLPLAEELPRAQESPASVREHTAGYAPYTFNRDAATEAAGVLSSLPDTQRSQRQPEKAASGQRSSVDAGLSQGSSAHRASQTGLGQSGNAATFETSERHGSGYSGAGQGQRYVRDQLSGQQRQAAQYYAELLHTPEVVSTSGSLQAGLPMPPLLAGRYWVLAQDEHLRLLSISDAAKALVVQEILSKLPTGLVGQPLLMPVAVAADADWTMILAERESLLRRLGLELTIRYQQLIIKKVPPYLRDSQLAKLIPEFLEWIKLEVPADEALCHWLAQYVTGFDAAPKVWQRIQSLEATERNKILESARDLPWQTWLDEYKH