A5D2K5 AF NFT

DNA mismatch repair protein MutL

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibzikv4uzrsmr2fbrmiosrogea2c4vrj5v5se4aqdfwgmwah2i3qe/metadata.json
IPFS of structure file: 
bafybeigit5qd5hzguxfsg2kdosoch5jdnnzt4h7r7oqnz3n3vh2e67vgya/AF-A5D2K5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCb401f8eaBf68E8414EA024E2c64eaF424A02547
First NFT owner address (bech32): 
genesis1edqplr4t768gg982qf8zce827sj2qf28ep8y2w
Current NFT ID #253765 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
253765
Accession (UniProt):
A5D2K5
Name::
DNA mismatch repair protein MutL
Experimental Method:
Predicted structure
Sequence source:
PELOTOMACULUM THERMOPROPIONICUM (STRAIN DSM 13744 / JCM 10971 / SI)

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 A5D2K5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5D2K5|MUTL_PELTS DNA mismatch repair protein MutL OS=Pelotomaculum thermopropionicum (strain DSM 13744 / JCM 10971 / SI) OX=370438 GN=mutL PE=3 SV=1 MANIIILDEFTAGQIAAGEVVERPVSVVKELVENSIDAGAGRIVVELEGGGLQAISVLDDGCGMSEEDLVLAFQRHATSKIKCSDDLNRITTLGFRGEALPSIAAVSKITVATRTRDALAGTRAEFAGGELIGKGPIGCPPGTSITVRDLFYNTPARRKAMKAPSAEGALCGGLISRLALARPEICFEVGIKGRRVFYSPGSGNLIDSLAAVYGRQIAAEMIAVKAVAEGLSINGYLGKPSLSRSTRSHITVIINGRYVRCPAIAEAIEGAYGTLLSRGRRPVAVLSLSVSPELLDVNIHPAKLEVRLLEEEKTASLLAGILKDALADKAVIPSAGNFRQAALRLENNKPGAEIFDGLGAGIIKTPGGGSSDRHVPGDKKNIQECLTLPDAHEYVADRVWVREAEDTPAYGNKVEKLPVLNALAHFPPVYILAGGEDGLYIVDQHAAHERIIYEEILSSGRTRPSQYLLVPVMLELDYREASILIERIIWFTDAGFVIEHFGGNTFLLRGVPFELPAGQEREIILDLLDYFESKGTGAGMTDFFKWAAASIACRSAVRAGEKLSLPSMNALLQRLSGTASPYTCPHGRPVVIKLSFRELELRFRR