Работы, цитирующие эту работу

Работ: 5

Работа: Accurate structure prediction of biomolecular interactions with AlphaFold 3

1. MSA clustering enhances AF-Multimer’s ability to predict conformational landscapes of protein–protein interactions

   Khondamir R Rustamov, Artyom Y. Baev

   СтатьяChemokine receptors and signalingBioinformatics Advances2024Цитирований: 2

   ABIABI:AkademIndex/openalex/2024.article.000975

2. Investigation of Structural Mechanisms Underlying p53 Dysfunction Caused by 148 Missense Mutations Using AlphaFold3 and Molecular Dynamics Simulations

   Khondamir R Rustamov, Jamoliddin Razzokov, Artyom Y. Baev

   СтатьяCancer-related Molecular PathwaysJournal of Chemical Information and Modeling2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.000789

3. Characterization of a Thermostable α-Amylase from Bacillus licheniformis 104.K for Industrial Applications

   Askar Kholikov, Khushnut Vokhidov, Azizjon Murtozoyev +4

   СтатьяEnzyme Production and CharacterizationMicroorganisms2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000320

4. Artificial intelligence‐driven anticancer peptide discovery

   Junrui Wu, Shuaiqi Ji, Kashif Iqbal Sahibzada +18

   Статьяvaccines and immunoinformatics approachesiMetaOmics.2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001183

5. RNAi-Mediated Silencing of vATPase Subunit E Impairs Larval Development in Plutella xylostella, and Virtual Screening Identifies a Potential Inhibitor

   Xuetao Yu, Jinhua Luo, Jiayi Xue +10

   СтатьяInsect Resistance and GeneticsInsects2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.013157