Q72CD8 AF NFT

Proline--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwi6q6cbf37arblhcakbrmaomrya3dwwb63xrju2jikuz7w2emli/metadata.json
IPFS of structure file: 
bafybeiaejor2bjyob7vhczojofduo4245ilgs6thwlfe7ehqd5vikoqfhy/AF-Q72CD8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7e0FFEEde44b37B891B739816c83d100c7a675E3
First NFT owner address (bech32): 
genesis10c8lam0yfvmm3ydh8xqkeq73qrr6va0rjas0sp
Current NFT ID #451695 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
451695
Accession (UniProt):
Q72CD8
Name::
Proline--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Desulfovibrio vulgaris (strain ATCC 29579 / DSM 644 / NCIMB 8303 / VKM B-1760 / Hildenborough)

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 Q72CD8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72CD8|SYP_DESVH Proline--tRNA ligase OS=Desulfovibrio vulgaris (strain ATCC 29579 / DSM 644 / NCIMB 8303 / VKM B-1760 / Hildenborough) OX=882 GN=proS PE=3 SV=1 MRWSRCYIPTLKEAPSDAEVVSHKLLVRAGMIRKLTSGIYTFMPMGLRALNKVAAIVREEMNRAGAQEVLMPMVQPADLWQETGRWEFYGKELLRFRDRNDRDYCLGPTHEEVITDLVRGEVRSYRQLPINLYQIQTKFRDEIRPRFGLMRGREFVMKDAYSFDRDQSGCDESYKAMYAAYQRIFSRLGLRFRAVEADSGSIGGSFSHEFMVLADTGEDTLAVCTACEYAANVERAEVTGTPCTRPAAAALAEVPTPGAHTIEEVSAFLGVPADMLVKTLLFVADGEPVAALVRGDRELNEVKLKNLLGADSLELATPEQVEAWTGAPVGFAGPVGLHGVKRVFADTELKGDAGWIVGANKADTHLREVSLTRDAAIEAYADLRMITASDPCPRCGGAVELPKGIEVGHVFKLGLKYSKSMNATFLDENGKEQVMVMGCYGIGVSRVVASCIEQNNDGDGIVFPPPIAPYEVALLLLDPKNEEAAAKAAEIESFLEAEGHDVLLDDRDERPGVKFKDADLIGSPYQLVLGGKGLARGVVEAKNRRSGEKTELPVEGFAEAFRDWRAGVLKGWGL