A0AHA7 AF NFT

Peptide chain release factor 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqciwbrzmt74lfy45kiio3ieywslhperzjmyjz522afeg5lkekoa/metadata.json
IPFS of structure file: 
bafybeidxlxtwbxaamxdapy6osqymkdjhrmotkzeaqqozzmg3y5tv4n7cny/AF-A0AHA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #340787 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
340787
Accession (UniProt):
A0AHA7
Name::
Peptide chain release factor 3
Experimental Method:
Predicted structure
Sequence source:
Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8)

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 A0AHA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0AHA7|RF3_LISW6 Peptide chain release factor 3 OS=Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8) OX=386043 GN=prfC PE=3 SV=1 MSQDLQKEVASRKTFAIISHPDAGKTTITEQLLLFGGVIRSAGTVKGKKSGKFATSDWMEIEKQRGISVTSSVMQFDYNGSRINILDTPGHSDFSEDTYRTLMAVDSAVMVIDAAKGIEAQTLKLFKVCRMRGIPIFTFINKMDRQGKMPLELLAELEEVLEIESYPMNWPIGMGKELAGLYDRYHRVIEQYRSEEDERFLPLGEDGDLKEAHEIQKSLYYDQALEEIMLLDEAGNDFSRERILAGEQTPVFFGSALTNFGVETFLRTFVDFAPAPSSHESNEGIIEADNPKFSGFIFKIQANMNPAHRDRIAFIRICSGEFERGMNVTLTRTGKSIKLANSTQFMADDRETVNRAVAGDIIGLYDTGNYQIGDTITNGSKKLEFEKLPQFTPELFMRVYAKNVMKQKHFHKGVEQLVQEGAIQLFKTWRTEEYIIGAVGQLQFEVFEHRMRGEYNSEIRMEPIGKKIARWVKEEDADEKLSTARSMLVKDRFDQPLFLFENEFAINWFNDKNPDIELTSLL