Q97QA8 AF NFT

V-type ATP synthase alpha chain

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxu2notlkks77a2lu4yp4axbhrvwtp324bopryqevlq6uefnmyve/metadata.json
IPFS of structure file: 
bafybeigfl7qlpyojgfogcsgk63m35rft3sjrgwnmwav52ciwgyvrr2ntl4/AF-Q97QA8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1740d814B84975811C96baED2801952BAEf63bb
First NFT owner address (bech32): 
genesis1596qmq2tsjt4sywfdwhd9qqe22aw7cam7j4jdy
Current NFT ID #495156 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
495156
Accession (UniProt):
Q97QA8
Name::
V-type ATP synthase alpha chain
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 Q97QA8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97QA8|VATA_STRPN V-type ATP synthase alpha chain OS=Streptococcus pneumoniae serotype 4 (strain ATCC BAA-334 / TIGR4) OX=170187 GN=atpA PE=3 SV=1 MTQGKIIKVSGPLVIASGMQEANIQDICRVGKLGLIGEIIEMRRDQASIQVYEETSGLGPGEPVVTTGEPLSVELGPGLISQMFDGIQRPLDRFKLATHNDFLVRGVEVPSLDRDIKWHFDSTIAIGQKVSTGDILGTVKETEVVNHKIMVPYGVSGEVVSIASGDFTIDEVVYEIKKLDGSFYKGTLMQKWPVRKARPVSKRLIPEEPLITGQRVIDAFFPVTKGGAAAVPGPFGAGKTVVQHQVAKFANVDIVIYVGCGERGNEMTDVLNEFPELIDPNTGQSIMQRTVLIANTSNMPVAAREASIYTGITMAEYFRDMGYSVAIMADSTSRWAEALREMSGRLEEMPGDEGYPAYLGSRIAEYYERAGRSQVLGLPEREGTITAIGAVSPPGGDISEPVTQNTLRIVKVFWGLDAPLAQRRHFPAINWLTSYSLYKDSVGTYIDGKEKTDWNSKITRAMNYLQRESSLEEIVRLVGIDSLSDNERLTMEIAKQIREDYLQQNAFDSVDTFTSFAKQEAMLSNILTFADQANHALELGSYFTEIMEGTVAVRDRMARSKYVSEDRLDEIKIISNEITHQIHLILETGGL