日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Artificial intelligence for screening drug resistance in tuberculosis

利用人工智能筛查结核病耐药性

Mohanvel, Sucharitha Kannappan; Radhakrishnan, Ramalingam; Balraj, Prasaanth; Singh, Niket; Danisetty, Sachin; Vats, Harsh; Chaudhury, Aparna; Choudhary, Hansraj; Rajendran, Priya; Jayaprakasam, Madhumathi; Devi Vadivel, Senthil; Preysingh, Bershila; Thariyasha, Shakinbanu; Anjaiyan, Sinduja; Chittiboyina, Sumalata; Dhawan, Sowmya; Lichade, Shailesh; Kumari, Rashmi; Ratnam, Rashmi; Chandrakar, Sachin; Nasir Khan, Mohammed; Srivastava, Ashutosh Kumar; Roy, Indranath; Kingsberry, Reena; Sridharan, Anand; Ramachandran, Ranjani; Kumar, Nishant; Singh, Manjula; Rao, Raghuram; Singh, Urvashi B; Padmapriyadarsini, Chandrasekaran; Shanmugam, Siva Kumar

Strategies for Making High-Performance Artificial Spider Silk Fibers

制备高性能人造蜘蛛丝纤维的策略

Schmuck, Benjamin; Greco, Gabriele; Pessatti, Tomas Bohn; Sonavane, Sumalata; Langwallner, Viktoria; Arndt, Tina; Rising, Anna

Origin, structure, and composition of the spider major ampullate silk fiber revealed by genomics, proteomics, and single-cell and spatial transcriptomics

基因组学、蛋白质组学、单细胞和空间转录组学揭示蜘蛛主壶腹丝纤维的起源、结构和组成

Sumalata Sonavane, Sameer Hassan, Urmimala Chatterjee, Lucile Soler, Lena Holm, Annelie Mollbrink, Gabriele Greco, Noah Fereydouni, Olga Vinnere Pettersson, Ignas Bunikis, Allison Churcher, Henrik Lantz, Jan Johansson, Johan Reimegård, Anna Rising

Regionalization of cell types in silk glands of Larinioides sclopetarius suggest that spider silk fibers are complex layered structures

蜘蛛丝腺中细胞类型的区域化表明,蜘蛛丝纤维是复杂的层状结构。

Sonavane, Sumalata; Westermark, Per; Rising, Anna; Holm, Lena