Inception of AlphaFold 3: Shining light from structure prediction to de novo design of biomolecules

Sihui Zhang; Yue Hou; Yongye Huang

doi:10.1002/mba2.102

MEDCOMM - Biomaterials and Applications ›› 2024, Vol. 3 ›› Issue (4) : e102 DOI: 10.1002/mba2.102

HIGHLIGHT

Inception of AlphaFold 3: Shining light from structure prediction to de novo design of biomolecules

Author information +

History +

PDF

Cite this article

Download citation ▾

Sihui Zhang, Yue Hou, Yongye Huang. Inception of AlphaFold 3: Shining light from structure prediction to de novo design of biomolecules. MEDCOMM - Biomaterials and Applications, 2024, 3(4): e102 DOI:10.1002/mba2.102

登录浏览全文

4963

注册一个新账户忘记密码

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	AbramsonJ, AdlerJ, DungerJ, et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature. 2024;630:493-500.

[2]	ButtenschoenM, MorrisGM, DeaneCM. PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences. Chem Sci. 2024;15(9):3130-3139.

[3]	WangJ, Lisanza S, JuergensD, et al. Scaffolding protein functional sites using deep learning. Science. 2022;377(6604):387-394.

[4]	HuangJ, LinQ, FeiH, et al. Discovery of deaminase functions by structure-based protein clustering. Cell. 2023;186(15):3182-3195.e14.

[5]	BohlinJ, Matthies M, PoppletonE, et al. Design and simulation of DNA, RNA and hybrid protein-nucleic acid nanostructures with oxview. Nat Protoc. 2022;17(8):1762-1788.

RIGHTS & PERMISSIONS

2024 The Author(s). MedComm - Biomaterials and Applications published by John Wiley & Sons Australia, Ltd on behalf of Sichuan International Medical Exchange & Promotion Association (SCIMEA).