Hans-Peter Buchstaller

Hans-Peter Buchstaller


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 August 2020 in Journal of Chemical Information and Modeling
Verified
Journal Article
Closed access
CSChristina E. M. Schindler
Christina E. M. Schindler
HBHannah Baumann
Hannah Baumann
ABAndreas Blum
Andreas Blum
DBDietrich Böse
Dietrich Böse
HBHans-Peter Buchstaller
Hans-Peter Buchstaller
DKDaniel Kuhn
Daniel Kuhn

5 August 2019 in Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
HBHans-Peter Buchstaller
Hans-Peter Buchstaller
UAUwe Anlauf
Uwe Anlauf
DDDieter Dorsch
Dieter Dorsch
DKDaniel Kuhn
Daniel Kuhn
MLMartin Lehmann
Martin Lehmann
CEChristina Esdar
Christina Esdar

22 December 2023 in Journal of Chemical Information and Modeling
Verified
Journal Article
Open access
ARAndrew Rusinko
Andrew Rusinko
MRMohammad Ali Rezaei
Mohammad Ali Rezaei
LFLukas Friedrich
Lukas Friedrich
HBHans-Peter Buchstaller
Hans-Peter Buchstaller
DKDaniel Kuhn
Daniel Kuhn
AGAshwini Ghogare
Ashwini Ghogare
The widespread proliferation of artificial intelligence (AI) and machine learning (ML) methods has a profound effect on the drug discovery process. However, many scientists are reluctant to utilize these powerful tools due to the steep learning curve typically associated with them. AIDDISON offers a convenient, secure, web-based platform for drug discovery, addressing the reluctance of scientists to adopt AI and ML methods due to the steep learning curve. By seamlessly integrating generative models, ADMET property predictions, searches in vast chemical spaces, and molecular docking, AIDDISON provides a sophisticated platform for modern drug discovery. It enables less computer-savvy scientists to utilize these powerful tools in their daily activities, as demonstrated by an example of identifying a valuable set of molecules for lead optimization. With AIDDISON, the benefits of AI/ML in drug discovery are accessible to all.

1 July 2012 in Bioorganic & Medicinal Chemistry Letters
Verified
Journal Article
Closed access
HBHans-Peter Buchstaller
Hans-Peter Buchstaller
HEHans-Michael Eggenweiler
Hans-Michael Eggenweiler
CSChristian Sirrenberg
Christian Sirrenberg
UGUlrich Grädler
Ulrich Grädler
DMDjordje Musil
Djordje Musil
MWMichael Wolf
Michael Wolf

2 February 2023 in Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
ABAndreas Blum
Andreas Blum
DDDieter Dorsch
Dieter Dorsch
NLNina Linde
Nina Linde
SBSusanne Brandstetter
Susanne Brandstetter
HBHans-Peter Buchstaller
Hans-Peter Buchstaller
CEChristina Esdar
Christina Esdar

5 July 2023 in Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
HBHans-Peter Buchstaller
Hans-Peter Buchstaller
ASAda Sala-Hojman
Ada Sala-Hojman
MLMatthias Leiendecker
Matthias Leiendecker
JAJoachim Albers
Joachim Albers
UAUwe Anlauf
Uwe Anlauf
AZAdrian Zarębski
Adrian Zarębski