Q65TT7 AF NFT

UPF0263 protein MS1016

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcgh7tqanqvk2aphjheypfh6yr5fujab2boztrbvc5qknbqvntsy/metadata.json
IPFS of structure file: 
bafybeif2nl2tmlttiowjavyg2ovaaztszqo66i5lnw552frcyjuq7f5epq/AF-Q65TT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #503678 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503678
Accession (UniProt):
Q65TT7
Name::
UPF0263 protein MS1016
Experimental Method:
Predicted structure
Sequence source:
MANNHEIMIA SUCCINICIPRODUCENS (STRAIN MBEL55E)

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 Q65TT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65TT7|Y1016_MANSM UPF0263 protein MS1016 OS=Mannheimia succiniciproducens (strain MBEL55E) OX=221988 GN=MS1016 PE=3 SV=1 MTVQINKLDPDAAIDIAYDIFLEMAPENLDPADIMLFNLQFEERGAVEFVETADNWDEEIGVLIDPDEYAEVWVGLVNENDEMDDIFAKFLISHREDDREFHVVWKE