Q64MP7 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibaqzhyv2l3kaorxr46iw62yxxi5avc7rra6ek3sm2s43n2ygawge/metadata.json
IPFS of structure file: 
bafybeihkeiupupf3iy3mw4q2zxm6n6k6jcvo3y2v3745dfun55cdatsm4q/AF-Q64MP7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB3159EE53D53042c0C9Eb6793e5F61743EAca5Ed
First NFT owner address (bech32): 
genesis1kv2eaefa2vzzcry7keunuhmpwsl2ef0dnaynkd
Current NFT ID #450633 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450633
Accession (UniProt):
Q64MP7
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64MP7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64MP7|SYM_BACFR Methionine--tRNA ligase OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=metG PE=3 SV=2 MEKNFKRTTVTSALPYANGPVHIGHLAGVYVPADIYVRYLRLKKEDVLFIGGSDEHGVPITIRAKKEGITPQDVVDRYHFLIKKSFEEFGISFDVYSRTSSKTHHELASDFFKKLYEKGEFIEKTSEQYYDEEAHQFLADRYITGECPHCHSEGAYGDQCEKCGTSLSPTDLINPKSAISGSKPVMKETKHWYLPLDKHETWLRQWILEEHKEWRPNVYGQCKSWLDMGLQPRAVSRDLDWGIPVPVEGAEGKVLYVWFDAPIGYISNTKELLPDSWETWWKDPETRLVHFIGKDNIVFHCIVFPAMLKAEGSYILPDNVPSNEFLNLEGDKISTSRNWAVWLHEYLEDFPGKQDVLRYVLTANAPETKDNDFTWKDFQARNNNELVAVYGNFVNRAMVLTQKYFEGKVPAAGELTDYDKETLKEFSDVKAEVEKLLNVFKFRDAQKEAMNLARIGNKYLADTEPWKLAKTDMERVGTILNISLQLVANLAIAFEPFLPFSSERLRQMLNMDSFDWAELGRNDLLPAGHQLNKPELLFEKIEDATIEAQVQKLLDTKKANEEANYKAKPIRANIEFDDFMKLDIRVGTVLECQKVPKADKLLQFKIDDGLETRTIVSGIAQHYKPEELVGKQVCFIANLAPRKLKGIVSEGMILSAENNDGSLAVVMPGREVKPGSEVK