Q2P295 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicoscnxdljxtztmqqdx45ooe5vnq3lutqmkghzjqgxblbmtdqblju/metadata.json
IPFS of structure file: 
bafybeihbfh3cncikuvbjj6elmxph62k2rqo67letjmavhd2ix527jvtjfa/AF-Q2P295-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x93987232482A75141d9E7B54B9dcD659ea7fb9Ae
First NFT owner address (bech32): 
genesis1jwv8yvjg9f63g8v70d2tnhxkt848lwdwhwahkk
Current NFT ID #253938 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253938
Accession (UniProt):
Q2P295
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Xanthomonas oryzae pv. oryzae (strain MAFF 311018)

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 Q2P295 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2P295|MUTL_XANOM DNA mismatch repair protein MutL OS=Xanthomonas oryzae pv. oryzae (strain MAFF 311018) OX=342109 GN=mutL PE=3 SV=1 MAIRQLPEMLINQIAAGEVVERPASVVKELVENALDAGATRVDIELEEGGVRLIRIRDNGGGIAPDELPLAVSRHATSKIASLDDLETVATLGFRGEALPSIASVSRFTLTSRRHDAEHGSALEIDGGRLGEVVPRAHAPGTTVEVRELFFNVPARRKFLRAERTELGHIEEWLRSLALARPDVELRVSHNGKPSRRYKPGDLYSDARLGETLGEDFARQALRVDHSGAGLRLHGWVAQPHYSRASTDQQYLYVNGRSVRDRSVAHAVKMAYGDVLFHGRQPAYVLFLELDPARVDVNVHPAKHEVRFREARLIHDFVYRTLQDALAHTRAGATPNSIGSDGAGYTGATAGEMGNIASGGPANHGNAPGRSGSAYSYANWTPSQTPLGLRVDEARAAYSALYAPPPRNAPQSTGMPSMAGTGLPATSEDSGVPPLGYAIAQLHGIYILAENAEGLIVVDMHAAHERIVYERLKNAHDSIGLHAQPLLVPMTLAVGEREADTAEREADTLATLGFEITRAGPQSLHVRSIPALLANAEPEALLRDVLGDLREHGQSCRIASARDELLSTMACHGAVRANRRLTVPEMNALLRDMEATERSGQCNHGRPTWARFTLSDIDRWFLRGR