Q3A504 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4mfll7y6fkdshjxhxnbyjwwtsi2akx32jmpdtfxhv6u3a6ab65u/metadata.json
IPFS of structure file: 
bafybeifluuzxvkqrqzzkszunjfgr3jyudeicjpr5uynqxcsltjcsmgduqe/AF-Q3A504-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7fe803A1694E5884a4149b96391e1F40D0875b54
First NFT owner address (bech32): 
genesis10l5q8gtffevgffq5nwtrj8slgrggwk658mya55
Current NFT ID #253906 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
253906
Accession (UniProt):
Q3A504
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1)

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 Q3A504 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3A504|MUTL_SYNC1 DNA mismatch repair protein MutL OS=Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1) OX=338963 GN=mutL PE=3 SV=1 MSQKIHILPESLCNQIAAGEVVERPASVVKELVENALDAGASRIQVDVENGGKRLIRVTDNGCGMSREDAFLCLERHATSKVRAEQDLFRLTTLGFRGEALPSIAAVSRFTLRTRLAEDVEGWELVVEGGTVKRSSAAGVPPGTIIEIRNLFFNTPARRKFLRRDETELGHIGETLTRLALSCPEVCFRFMHNGRMLWEVNRQKSLVERAAELLGREAVRDMLPVERQGPEGMRLHGLISSPRLNRSGLGGMFTFINGRFIRDKVVQHALADGYRNLLAKGRHPVLVLFLEIDPSQVDVNVHPTKHEVRFRQQALVHDFIVKALRDHLQQVPTSAMPAPGNSPFTVPARENAASVKPDETKPALADTPAAFSAGEGSSRSDVPYPSASQVTETTDSYDAHDSGVEGASTAPPLSEEGLFSVTADVRPSEQTENSGFFASLRLIGQYQNSYLVCQSEKDLILIDQHAAHERIGFEHLRKQYLAGSIERQLLLFPLVLEFDFRLGRIVEEQRDSLFRLGFALENFGGNAFALKELPRMLKEADAERLVRDVVDEFAAIGRSQAVEIELERILLKMACHAMVRAHQRLSFDEMQALLDELDKTPFSSNCPHGRPTFLRWSLGELERLFKRA