Synlett: Machine Learning and Artificial Intelligence in Chemical Synthesis and Catalysis
Zankov, D.; Polishchuk, P.; Madzhidov, T.; Varnek, A.:
Multi-Instance Learning Approach to Predictive Modeling of Catalysts Enantioselectivity
Xu, Li-Cheng; Li, Xin; Tang, Miao-Jiong; Yuan, Luo-Tian; Zheng, Jia-Yu; Zhang, Shuo-Qing; Hong, Xin:
A Molecular Stereostructure Descriptor Based On Spherical Projection
Yada, Akira; Matsumura, Tarojiro; Ando, Yasunobu; Nagata, Kenji; Ichinoseki, Sakina; Sato, Kazuhiko:
Ensemble Learning Approach with LASSO for Predicting Catalytic Reaction Rates
SYNLETT Call for Papers
Upcoming SYNLETT Clusters open for submissions are listed below!
投稿前请先与相应的（客座）编辑联系，并注明您的稿件标题和文章类型（例如 Account 或 Letter）。
（客座）编辑同意后，按照作者指南投稿。
投稿时请附上Cluster的标题和相应的通讯编辑。
Dispersion Effects
Peter R. Scheiner / Stefan Grimme / Benjamin List
email: synlett@mpi-muelheim.mpg.de
Dispersion interactions are the counterpart of steric repulsion that has served classic models in organic synthesis well. Over the last few years is has become apparent that the interplay of the two is essential for understanding thermodynamic stability, molecular recognition, chemical selectivity through transition-state stabilization, protein folding, enzyme catalysis, and more. Dispersion is much better understood now but it is not yet at the verge of being routinely included in synthesis planning. Making rational use of dispersion as a strategic element in synthesis is therefore a timely issue.
Deadline for submissions: July 15, 2022
Machine Learning and Artificial Intelligence in Chemical Synthesis and Catalysis
Benjamin List / Connor W. Coley
email: synlett@mpi-muelheim.mpg.de
Machine learning (ML) and artificial intelligence (AI) are currently substantially growing in all areas of chemistry but a Cluster devoted to applications in chemical synthesis and catalysis, despite the particularly tremendous potential of ML and AI in these areas, has been missing. If you are an active researcher in this field we invite you to contribute.
Deadline for submissions: June 20, 2022
Design and Chemical Synthesis of Antivirals
Benjamin List / Dirk Trauner
email: synlett@mpi-muelheim.mpg.de
Antivirals have had a major positive impact on human health. We think that considering the current world situation it is timely to celebrate the contributions of chemical antivirals to our life on this planet.
Deadline for submissions: May 31, 2022
Synlett
2.454
Impact Factor 2020
本刊是一份国际期刊，以个性化短评和初步简报的形式报告有机合成化学的研究成果和当前趋势。它涵盖了所有涉及有机合成的科研领域，包括催化、有机金属、医药、生物学和光化学，也包括其他相关学科，同时也可通过其发表科学原始数据。
