A1ARE5 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6g42ygwdmov3g7yip5clheo3flmq7ovzhupcrv4x4dxs635u5ym/metadata.json
IPFS of structure file: 
bafybeidbkbokra5juflqofkv4pfyx6lxgfg2kk2yspffiisqxbpqluuuyi/AF-A1ARE5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf1142313FFf0b0bA04b5c1679C7bE40460717869
First NFT owner address (bech32): 
genesis17y2zxyll7zct5p94c9nec7lyq3s8z7rf0u442v
Current NFT ID #454510 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454510
Accession (UniProt):
A1ARE5
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Pelobacter propionicus (strain DSM 2379 / NBRC 103807 / OttBd1)

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 A1ARE5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1ARE5|SYT_PELPD Threonine--tRNA ligase OS=Pelobacter propionicus (strain DSM 2379 / NBRC 103807 / OttBd1) OX=338966 GN=thrS PE=3 SV=1 MSSISIALPDGSKREIASGSTIADLAASIGAGLAKAAIAGKLDGELVDLSTELKDDSRVEIITEKSPEALTVIRHSAAHLMAQAVKELFPQAKVTIGPAIESGFYYDFDMDAPFTPEDLERIEARMAELAAANQKIERRVLSSSEAVSLFSGMGENYKVELINDLAAETVSVYSQGDFADLCRGPHLPSTSRIKAFKLLSIAGAYWRGDEKNRMLQRIYGTAFADKKELEAYLHRLEESKRRDHRRLGRELDLFSFSDEVGAGLVIWHPKGAMLRTILEDFERREHLKRGYDIVLGPQILKKELWQRSGHYENYRENMYFTEVDEQSYGIKPMNCLAHMMIYKSHLRSYRDLPLRYFELGTVHRHERAGVLHGLLRVRGFTQDDAHILCAPEQLDGEIKGVLKFVSDVMAIFGFEYEMELSTRPEKSIGDDAAWELATEALLSALKDTGRSFEINEGDGAFYGPKIDIKLKDALDRRWQCATIQCDFTLPERFDLQYVAADGEKKRPVMVHRVVLGAIERFIGVLIEHYAGNFPLWLSPVQAMLVTVTDNHIPYAQGVLEHLREAGIRVQGDFRNEKLSFKIREAQLQKVPYMLVIGDKEMESATVTPRFRDGKNLVAMKPEDFVAFVVEETKNFR