A1W1Z0 C4-dicarboxylate transport protein MolNFT, Molecular NFT on GenesisL1

C4-dicarboxylate transport protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicea7rwk52zsb4vbm4ybkkpqbpynumrx6wvdvhfzwesbrnxiuktuy/metadata.json

IPFS of structure file:

bafybeihqnh57gik4h6fsklrkxvf2dtxbh3zxzi55w5c3egdcu2tikt66ki/AF-A1W1Z0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x464347A0759051e04b8aC8716C3E3c0BD65DCb7F

First NFT owner address (bech32):

genesis1gep50gr4jpg7qju2epckc03up0t9mjml550fe4

Current NFT ID #91749 owner (web3):

0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91749
Accession (UniProt):
A1W1Z0
Name::
C4-dicarboxylate transport protein
Experimental Method:
Predicted structure
Sequence source:
Acidovorax sp. (strain JS42)

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 A1W1Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1W1Z0|DCTA_ACISJ C4-dicarboxylate transport protein OS=Acidovorax sp. (strain JS42) OX=232721 GN=dctA PE=3 SV=1 MHAISSAAPAPSVRLPFYRQLYFQVVFAIIIGVLLGHFQPEYGAAMKPFGDAFIKLIKMIIAPVIFLTIVTGIASMSHLSAVGRVFGKAMAYFLTFSTLALVVGLVVANVMQPGTGMHINVAELDQTAVKGYVSKSHEMTLTGFALDIIPKTLISPFVGDNILQVLLVAVLFGVSLAMVGDAGKPILDFLDGLTKPVFKLVNIVMKAAPIGAFGAMAFTIGKFGLGSLVNLAELVLTFYITSAVFVLVVLGAVARACGFSVLKLIRYLKAELLLVLGTSSSESALPSLMEKMEKAGCAKSVVGLVVPTGYSFNLDGTNIYMTLAALFIAQATDTHLTLGHQIALLLVAMLSSKGAAGVTGAGFITLAATLAVVPEVPVAGMALILGVDRFMSECRSLTNFIGNAVATVVVSRWENALDADRLHRVLDGEAEFLPEPERAVEPVVLARHRA

A1W1Z0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A1W1Z0 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience