Q97PI4 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6j6i337opsudbc2bxd3gsvylawbf3bui5fo6h2dbimipv6nszcy/metadata.json
IPFS of structure file: 
bafybeibvevi4gkt5kxn2iiew7jcxbyo5zcwaelyxe4yyyppen5uvz4yxca/AF-Q97PI4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #454690 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454690
Accession (UniProt):
Q97PI4
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 4 (STRAIN ATCC BAA-334 / TIGR4)

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 Q97PI4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97PI4|SYT_STRPN Threonine--tRNA ligase OS=Streptococcus pneumoniae serotype 4 (strain ATCC BAA-334 / TIGR4) OX=170187 GN=thrS PE=1 SV=1 MINITFPDGAVREFESGVTTFEIAQSISNSLAKKALAGKFNGKLIDTTRAITEDGSIEIVTPDHEDALPILRHSAAHLFAQAARRLFPDIHLGVGPAIEDGFYYDTDNTAGQISNEDLPRIEEEMQKIVKENFPSIREEVTKDEAREIFKNDPYKLELIEEHSEDEGGLTIYRQGEYVDLCRGPHVPSTGRIQIFHLLHVAGAYWRGNSDNAMMQRIYGTAWFDKKDLKNYLQMREEAKERDHRKLGKELDLFMISQEVGQGLPFWLPNGATIRRELERYIVNKELVSGYQHVYTPPLASVELYKTSGHWDHYQEDMFPTMDMGDGEEFVLRPMNCPHHIQVFKHHVHSYRELPIRIAEIGMMHRYEKSGALTGLQRVREMSLNDGHLFVTPEQIQEEFQRALQLIIDVYEDFNLTDYRFRLSLRDPQDTHKYFDNDEMWENAQTMLRAALDEMGVDYFEAEGEAAFYGPKLDIQIKTALGKEETLSTIQLDFLLPERFDLKYIGADGEDHRPVMIHRGVISTMERFTAILIENYKGAFPTWLAPHQVTLIPVSNEKHVDYAWEVAKKLRDRGVRADVDERNEKMQFKIRASQTSKIPYQLIVGDKEMEDETVNVRRYGQKETQTVSVDNFVQAILADIANKSRVEK