Q32BQ4 L-tartrate/succinate antiporter MolNFT, Molecular NFT on GenesisL1

L-tartrate/succinate antiporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihzgies2u437vnthws7fljd6lj7rfszwckqfwfmh7xxkv2ogns5za/metadata.json

IPFS of structure file:

bafybeidmshmqptieitaa2hzdfppbwyjdjrxwerchyozekojwebwuc552cm/AF-Q32BQ4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xa10D43235e7f218a851416dd8888614A38c78d21

First NFT owner address (bech32):

genesis15yx5xg670usc4pg5zmwc3zrpfguv0rfp396nqc

Current NFT ID #481781 owner (web3):

0xA694AC65628052286202030158e9fCC8311d7901

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
481781
Accession (UniProt):
Q32BQ4
Name::
L-tartrate/succinate antiporter
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32BQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32BQ4|TTDT_SHIDS L-tartrate/succinate antiporter OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=ttdT PE=3 SV=1 MKPSTEWWRYLAPLAVIAIIALIPVPAGLESHTWLYFAVFTGVIVGLILEPVPGAVVAMVGISIIAILSPWLLFSPEQLAQPGFKFTAKSLSWAVSGFSNSVIWLIFAAFMFGTGYEKNGLGRRIALILVKKMGHRTLFLGYAVMFSELILAPVTPSNSARGAGIIYPIIRNLPPLYQLQPNDSSSRSIGSYIMWIGIVADCVTSAIFLTAMAPNLLLIGLMKSASHATLSWGDWFLGMLPLSILLVLLVPRLAYVLYPPVLKSGDQVPRWAETELQAMGPLCSREKRMLGLMVGALVLWIFGGDYIDAAMVGYSVVALMLLLRIISWDDIVSNKAAWNVFFWLASLITLATGLNNTGFISWFGKLLAGSLSGYSPTMVMVALIVVFYLLRYFFASATAYTSALAPMMIAAALAMPEIPLPVFCLMVGAAIGLGSILTPYATGPSPIYYGSGYLPTADYWRLGAIFGLIFLVLLVITGLLWMPVVLL

Q32BQ4 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q32BQ4 research and analysis (ICN3D with VR)

FASTA sequences

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