A6LBU6 AF NFT

Aspartate--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie47i5hibp2cp4z7rthfq5cgvibp5avkbpssqg56atafzoqu7zssm/metadata.json
IPFS of structure file: 
bafybeievvoab4ci7klmyqobksk2h64ffvy6dhdmcetecw65tdg23nc2eve/AF-A6LBU6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #445040 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
445040
Accession (UniProt):
A6LBU6
Name::
Aspartate--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PARABACTEROIDES DISTASONIS (STRAIN ATCC 8503 / DSM 20701 / CIP 104284 / JCM 5825 / NCTC 11152)

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 A6LBU6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6LBU6|SYD_PARD8 Aspartate--tRNA ligase OS=Parabacteroides distasonis (strain ATCC 8503 / DSM 20701 / CIP 104284 / JCM 5825 / NCTC 11152) OX=435591 GN=aspS PE=3 SV=1 MYRTRTCGDLRLADEGLVVTLAGWVQKTRKMGGMTFVDIRDRYGITQLVFNQEVDAALCEKANKLGREFVIQVTGTVRERSSKNAHIPTGDIELIVSELNVLNTALTPPFTIEEETDGGDDLRMKYRYLDLRRACVRKNLELRHRMAFEVRRYLDEQGFLEVETPVLVNSTPEGARDFVVPSRMNPGQFYALPQSPQTLKQLLMVSGFDRYFQIVKCFRDEDLRADRQPEFTQIDCEMSFVEQEDVLNMFEGMAKHLFKVIRGVEFKESFMRMTWQDAMKQYGSDKPDLRFGMKFVELMDIMKGHGFSVFDNAAYIGGICAEGAASYTRKQLDALTEFVKRPQVGAKGLVYARVEADGNVKSSVDKFYSQEVLQEMKNAFGAKPGDLILILSGDDAMKTRKQLCELRLEMGNQLGLRDKDKFVCLWVIDFPLFEWNEDDQRFYAMHHPFTSPNPDDIPLLDTDPGAVRANAYDMVINGVEVGGGSIRIHDSQLQDKMFKLLGFTEERAQEQFGFLMNAFKYGAPPHGGLAYGLDRFVSLFAGLDSIRDCIAFPKNNSGRDVMLDAPGVLDPAQLDELNLIVDIKK