CHEMICAL INFORMATION AND COMPUTATION

2025, NUMBER ONE ACS National Meeting, San Diego, Spring, 2025
2024, NUMBER TWO ACS National Meeting, Denver, Fall, 2024
2024, NUMBER ONE ACS National Meeting, New Orleans, Spring, 2024
2023, NUMBER TWO ACS National Meeting, San Fransisco, Fall, 2023
2023, NUMBER ONE ACS National Meeting, Indianapolis, Spring, 2023
2022, ACS National Meetings 2022 and Other Meetings
Click here for past reports (2019-2021)


CHEMICAL INFORMATION AND COMPUTATION 2025
NUMBER ONE; ACS NATIONAL MEETINGS
San Diego, California, March 23-27, 2025

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE AND MISCELLANEOUS NEWS
ACCESS INNOVATIONS
ACD/LABS
ACTYON DISCOVERY
AMERICAN CHEMICAL SOCIETY
   ACS Publications
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CERTARA
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COLLABORATIVE DRUG DISCOVERY
CRESSET
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ELSEVIER
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EMOLECULES
ENAMINE
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FIZ KARLSRUHE
ICHEMLABS
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INSTEM
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MOLECULAR CONNECTIONS
MOLECULE.ONE
MOLSOFT
NEXTMOVE SOFTWARE
NXERA PHARMA
OPENEYE, CADENCE MOLECULAR SCIENCES
OPTIBRIUM
OXFORD DRUG DESIGN
PHARMACELERA
PISTOIA ALLIANCE
POSTERA
PUBCHEM
RECURSION PHARMACEUTICALS
REVVITY
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SIMULATIONS PLUS
SPRINGER NATURE
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THIEME CHEMISTRY
X-CHEM


TECHNICAL PROGRAM

EVALUATING AI-POWERED TOOLS FOR LEARNING AND RESEARCH IN CHEMISTRY FROM END USER PERSPECTIVES

Accelerating novel and complex molecule synthesis with machine-learning-enabled reaction informatics, retrosynthesis, and condition optimization
Implementing AI in drug discovery: a practical perspective

MACHINE LEARNING FOR MOLECULAR SIMULATION AND DESIGN: METHODS

Transforming discovery with insights from deep learning imputation: supporting better decisions with limited data

MACHINE LEARNING AND AI FOR ORGANIC CHEMISTRY

Stereoselectivity in retrosynthesis
AI-powered chemical knowledge mining: extracting insights from diverse documentation for accelerated discovery

CLOUD DATABASES AND SCREENING FOR VIRTUAL DRUG DISCOVERY

Cloud computing to identify the most promising compounds efficiently in ultralarge chemical spaces for in silico hit discovery
Covalent chemical space docking: assessment of the potential for novel covalent inhibitors from ultralarge chemical spaces

DIVISION OF CHEMICAL EDUCATION DIVISION SYMPOSIUM. BEST PRACTICES FOR THE IMPLEMENTATION AND USE OF ARTIFICIAL INTELLIGENCE IN CHEMISTRY EDUCATION RESEARCH AND PRACTICE

Using predictive retrosynthesis in chemical education


REFERENCES



APPENDIX ONE. POSTERS

Addressing the lack of data in preclinical drug discovery with DNA encoded libraries, machine learning, and open science
COCONUT 2.0: a comprehensive improved open database for natural products research
Cheminformatics microservice: an open-source solution facilitating access to diverse cheminformatics toolkits
Comprehensive evaluation of biochemical databases in drug discovery: insights from a crowd-reviewed analysis
Using ontologies to make bioassay protocols machine readable


CHEMICAL INFORMATION AND COMPUTATION 2024
NUMBER TWO; ACS NATIONAL MEETING
DENVER, AUGUST 18-22, 2024

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE AND MISCELLANEOUS NEWS
ACD/LABS
ACTYON DISCOVERY
AMERICAN CHEMICAL SOCIETY
   ACS Publications
   Chemical Abstracts Service (CAS)
BENEVOLENTAI
BIOSOLVEIT
BIOVIA
CAMBRIDGE CRYSTALLOGRAPHIC DATA CENTRE (CCDC)
CERTARA
CHARLES RIVER LABORATORIES
CHEMAXON
CHEMBL
CHEMICAL AI
CHEMICAL COMPUTING GROUP
CLARIVATE
   Intellectual Property
   Academia and Government
   Life Sciences and Healthcare
   ProQuest
   People
COLLABORATIVE DRUG DISCOVERY
CRESSET
DEEPMATTER (REBRANDED CHEMAI)
DIGITAL SCIENCE
DOTMATICS
ELSEVIER
   Corporate, ScienceDirect and Scopus
   Reaxys
   PharmaPendium
EVOTEC
EXSCIENTIA
FIZ KARLSRUHE
ICHEMLABS
IDBS
INCHI TRUST
INSILICO MEDICINE
INSTEM
JOHN WILEY & SONS
KNIME
KUDOS
LHASA LIMITED
MOLECULE.ONE
MOLSOFT
NEXTMOVE SOFTWARE
NXERA PHARMA
OPENEYE, CADENCE MOLECULAR SCIENCES
OPTIBRIUM
OXFORD DRUG DESIGN
PISTOIA ALLIANCE
POSTERA
PUBCHEM
RECURSION PHARMACEUTICALS
REVVITY
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SIMULATIONS PLUS
SPRINGER NATURE
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THIEME CHEMISTRY
X-CHEM


TECHNICAL PROGRAM

MACHINE LEARNING & AI FOR ORGANIC CHEMISTRY

Exploring recent advances in transformer architectures for enhanced chemical reaction prediction
Every atom counts: predicting sites of reaction based on chemistry within two bonds
SMachine learning models for yield predictions of the Biginelli reaction
Ideation and evaluation of novel multicomponent reactivities via mechanistic network analysis and automation
Integrating machine learning and large language models to advance exploration of electrochemical reactions
Toward automated reassignment of NMR spectra
Integrated platform for leveraging data and machine learning to accelerate early drug discovery
Enabling starting material-oriented strategies in computer-aided synthesis planning with a bidirectional search algorithm

OPEN-SOURCE CHEMINFORMATICS RESOURCES

Making reaction data machine-actionable with the Open Reaction Database
ASKCOS: an open-source, microservice-based web app for automatic and interactive synthesis planning
RDCanon: a Python package for canonicalizing the order of tokens in SMARTS queries
COCONUT 2.0: a comprehensive overhaul and curation of the collection of open natural products database

EXPLORING THE IMPACT OF CHATGPT AND LARGE LANGUAGE MODELS IN CHEMINFORMATICS/h3> Introduction to ChatGPT and large language models for chemists

HERMAN SKOLNIK AWARD SYMPOSIUM HONORING ALEXANDRE VARNEK

HERMAN SKOLNIK AWARD SYMPOSIUM

Condensed graph of reaction: a universal approach to reaction informatics and modeling
Cheminformatics in green: sustainable energy and agriculture
Use of deep learning for screening ultra-large chemical libraries. The identification of LRRK2 WDR inhibitors from 4 billion compounds
Toward next generation pharmacophore modeling for compound profiling: concepts and applications
Expanding and exploring the chemical space and multiverse of food chemicals and natural products
Digitalization of chemical research brought about by the research transformation (RX) cycle
Cheminformatics tools as an integrated part for creating new products and compound catalogs by CRO and chemical suppliers
Chemical language models for molecular design
De novo drug design in the artificial intelligence era
Acceleration of traditional cheminformatics tasks with recent AI and ML technologies: SALSA, SmallSA, and HIDDEN GEM
From chemical space visualization to strategic planning: leveraging chemography in drug discovery at Eli Lilly
Innovations at the interface: exploring Alexandre Varnek’s pioneering contributions to cheminformatics and artificial intelligence in chemistry
From geography to chemography and back
Conclusion


REFERENCES



FIVE POSTERS



CHEMICAL INFORMATION AND COMPUTATION 2024
NUMBER ONE; ACS NATIONAL MEETING
NEW ORLEANS, MARCH 17-21, 2024

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE AND MISCELLANEOUS NEWS
ACCESS INNOVATIONS
ACD/LABS
AMERICAN CHEMICAL SOCIETY
   ACS Publications
   Chemical Abstracts Service (CAS)
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BIOSOLVEIT
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CAMBRIDGE CRYSTALLOGRAPHIC DATA CENTRE (CCDC)
CERTARA
CHARLES RIVER LABORATORIES
CHEMAXON
CHEMBL
CHEMDIV
CLARIVATE
   Intellectual Property
   Academia and Government
   Life Sciences and Healthcare
   ProQuest
COLLABORATIVE DRUG DISCOVERY
CRESSET
CROSSREF
DEEPMATTER
DIGITAL SCIENCE
DISCNGINE
DOTMATICS
ELSEVIER
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   Mendeley Data
   People
EVOTEC
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FIZ KARLSRUHE
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IDBS
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LHASA LIMITED
MOLECULE.ONE
OPENEYE, CADENCE MOLECULAR SCIENCES
OPTIBRIUM
OXFORD DRUG DESIGN
PHARMACELERA
PISTOIA ALLIANCE
PUBCHEM
RAID
REVVITY
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SIMULATIONS PLUS
SOSEI HEPTARES (NOW NXERA PHARMA)
SPRINGER NATURE
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THIEME CHEMISTRY
X-CHEM


TECHNICAL PROGRAM

MACHINE LEARNING AND AI FOR ORGANIC CHEMISTRY

LillyMol: cheminformatics toolkit for precise and fast structure search, chemical transforms, and other cheminformatics tasks
NCATS ASPIRE, a specialized platform for innovative research exploration. Lowering the barrier to drug development by applying automation, data analytics, and AI/machine learning to chemistry and biology
Site-specific generative models for retrosynthetic planning
Toward accurate prediction of reaction minor products and impurities
Substrate scope contrastive loss: repurposing human bias to learn representations of reactive atoms
Predicting reaction outcome using ML models trained on dedicated datasets of reactions performed in HTE mode

CROSS-SECTOR PARTNERSHIPS FOR INNOVATION AND TALENT

Cleveland Clinic Quantum Discovery Accelerator
Navigating to win-win-win: the value of and challenges to successful informatics partnerships

EXPLORING THE IMPACT OF CHATGPT AND LARGE LANGUAGE MODELS IN CHEMINFORMATICS

Introduction to ChatGPT and large language models for chemists

CELEBRATING THE LIFE AND LEGACY OF DR. OLGA KENNARD

Life of Dr. Olga Kennard: a visionary leader
Protein Data Bank: from two epidemics to the global pandemic to mRNA vaccines and Paxlovid
Olga Kennard as an icon of interdisciplinarity
The chemist and the architect
Olga Kennard as research mentor in the mid-1970s: a DNA fragment, dipeptides, an early use of disorder tools, and cannabidiol
Olga Kennard and the Cambridge Crystallographic Data Centre: an inspiration for modern scientific data science. An outsider's view
Olga Kennard: the CSD and wider contributions to the community
Approximate symmetry in organic crystal structures having Z'>1
From vision through data to insight and knowledge
Integration of CCDC tools into pharmaceutical solid form development
Teaching crystallography to chemistry students using the Cambridge Structural Database
Future of structural science: building on Olga Kennard's enduring legacy


CAMBRIDGE CHEMINFORMATICS NETWORK MEETING, MAY 8, 2024

Ligand-based 3D pharmacophore search (Pharos3D) for drug analogues in ultralarge combinatorial libraries


REFERENCES



APPENDIX ONE. POSTERS

ACS NATIONAL MEETING SPRING 2024, NEW ORLEANS

Substrate scope contrastive loss: repurposing human bias to learn representations of reactive atoms
Utilizing low-dimensional molecular embeddings for rapid chemical similarity searching
ChatGPT chemistry assistant for text mining and prediction of MOF synthesis

DRUG DISCOVERY CHEMISTRY, SAN DIEGO, APRIL 2024

Best of both worlds: an expansion of the state-of-the-art pKa model with data from three industrial partners
A knowledge-based fragment library design platform and an in silico platform for rapid fragment optimization

SOCIETY OF TOXICOLOGY ANNUAL MEETING, SALT LAKE CITY, MARCH 2024

Proof-of-concept publicly accessible data dashboards from the US-EPA


CHEMICAL INFORMATION AND COMPUTATION 2023
NUMBER TWO; ACS NATIONAL MEETING
SAN FRANCISCO, AUGUST 13-17, 2023

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE AND MISCELLANEOUS NEWS
ACD/LABS
AMERICAN CHEMICAL SOCIETY
   ACS Publications
   Chemical Abstracts Service (CAS)
BENEVOLENTAI
BIOSOLVEIT
BIOVIA
CAMBRIDGE CRYSTALLOGRAPHIC DATA CENTRE (CCDC)
CERTARA
CHEMAXON
CHEMDIV CHEMRXIV
CLARIVATE
   Intellectual Property
   Academia and Government
   Life Sciences and Healthcare
COLLABORATIVE DRUG DISCOVERY
CRESSET
CROSSREF
DIGITAL SCIENCE
DISCNGINE
DOTMATICS
ELSEVIER
   Corporate, ScienceDirect and Scopus
   PharmaPendium
   People
EVOTEC
EXSCIENTIA
FIZ KARLSRUHE AND STN INTERNATIONAL
ICHEMLABS
INCHI TRUST
INSILICO MEDICINE
INSTEM
JOHN WILEY & SONS
KNIME
KUDOS
LHASA LIMITED
MERCK/MILLIPORE SIGMA
MOLECULE.ONE
MOLSOFT
OPENEYE SCIENTIFIC SOFTWARE
OPTIBRIUM
PHARMACELERA
PISTOIA ALLIANCE
REVVITY
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SIMULATIONS PLUS
SOSEI HEPTARES
SPRINGER NATURE
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THIEME CHEMISTRY


TECHNICAL PROGRAM

ACS INDIANAPOLIS SPRING 2023. MACHINE LEARNING AND AI IN CHEMISTRY

Growing strings in a chemical reaction space for searching retrosynthesis pathways

PAST, PRESENT, AND FUTURE OF AI AND PREDICTIVE ANALYTICS FOR CHEMICAL REACTIONS

Mind the retrosynthesis gap: bridging the divide between single-step and multistep retrosynthesis prediction
Predicting the right reaction solvents in organic synthesis using artificial intelligence
Predicting reaction success using a BERT masked language model pretrained on reaction SMILES data
Multimodal learning on chemical reaction data: combining procedure text and reaction SMILES
ChemTools: bridging the gap between computational tools and experiments in chemistry with large language models
Reactions atom-to-atom mapping with bidirectional graphormer
Reaxys: a story of information extraction for text and image data
Global reactivity models are impactful in industrial synthesis applications
Assessing the ability of ML-based reaction predictors to generalize and extrapolate
Reaction InChI (RInChI) version 1.2: new layers for machine learning
Reagent prediction with a molecular transformer improves reaction data quality (abstract and link)

ALGORITHM DEVELOPMENT AND DATA ANALYSIS IN CHEMICAL SPACE

Automated extraction and curation of 15 million reactions
From hit to candidate drug, DNDi-6510: using automated structure activity relationship (SAR) analysis on the global COVID-Moonshot project

HELPING CHEMISTS MANAGE THEIR DATA

Universal digital chemical language for robotic synthesis and discovery: chemputation
Mirror mirror on the wall who is the FAIRest of them all?

CHEMICAL INFORMATICS (R)EVOLUTION: TOWARD DEMOCRATIZATION AND OPEN SCIENCE

Rethinking de novo drug design aided with natural product subsets
DECIMER.ai developments and automated chemical literature mining for COCONUT 2.0
U.K. Physical Sciences Data Infrastructure (PSDI) initiative

ENHANCE YOUR DATA: SMART WAYS TO METADATA AND KNOWLEDGE GRAPHS

We don't talk about semantic web technologies
CAS data framework and its value in digital transformation initiatives


REFERENCES



APPENDIX ONE. POSTERS

IUPAC INTERNATIONAL CHEMICAL IDENTIFIER (INCHI) – THE COMPOUND IDENTIFIER THAT GLUES ALL COMPOUND STEPS IN THE RESEARCH LIFE CYCLE
ADVANCED TURBO PASCAL: TETRIS
MAKING THE INTANGIBLE TANGIBLE: USING AI TO UNLOCK 3000 CHEMIST YEARS' WORTH OF KNOWLEDGE FROM OVER 2000 LAB BOOKS IN THE UNIVERSITY OF SOUTHAMPTON CHEMISTRY DEPARTMENT


APPENDIX TWO

HERMAN SKOLNIK AWARD SYMPOSIUM 2023. HONORING PATRICK WALTERS


REFERENCES


CHEMICAL INFORMATION AND COMPUTATION 2023
NUMBER ONE; ACS NATIONAL MEETINGS 2022
INDIANAPOLIS, MARCH 26-30, 2023

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE AND MISCELLANEOUS NEWS
ACD/LABS
AMERICAN CHEMICAL SOCIETY
   ACS Publications
   Chemical Abstracts Service (CAS)
BENEVOLENTAI
BIOSOLVEIT
BIOVIA
CAMBRIDGE CRYSTALLOGRAPHIC DATA CENTRE (CCDC)
CERTARA
CHEMAXON
CHEMBL
CHEMICAL.AI
CHEMICAL COMPUTING GROUP
CHEMRXIV
CITELINE
CLARIVATE
   Intellectual Property
   Academia and Government
   People
COLLABORATIVE DRUG DISCOVERY
CRESSET
DEEPMATTER
DIGITAL SCIENCE
DISCNGINE
DOTMATICS
ELSEVIER
   Corporate, ScienceDirect and Scopus
   Reaxys
   SciBite
   EmBiology
   People
EVOTEC
EXSCIENTIA
FIZ KARLSRUHE AND STN INTERNATIONAL
ICHEMLABS
IDBS
INCHI TRUST
INSILICO MEDICINE
INSTEM DISCOVERY
JOHN WILEY & SONS
KNIME
KUDOS
LHASA LIMITED
NEXTMOVE SOFTWARE
OPENEYE SCIENTIFIC SOFTWARE
OPTIBRIUM
OXFORD DRUG DESIGN
PERKINELMER INFORMATICS
PHARMACELERA
PISTOIA ALLIANCE
PUBCHEM
REVVITY
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SIMULATIONS PLUS
SPRINGER NATURE
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THIEME CHEMISTRY


TECHNICAL PROGRAM

CHEMINFORMATICS AND COMPUTATIONAL-BASED CHEMICAL LIBRARY ENUMERATION

Exploring the chemical and molecular multiverses of enumerated chemical libraries
Chemical library enumeration of antidiabetic targeted libraries
SAVI and SLICE. Intelligent generation of virtual screening samples
Reaction-based enumeration: lessons learned in designing a workflow that chemists want to use
Fast exploration of feedstocks using chemical transformation-based libraries for fragrance ingredient research

MACHINE LEARNING AND AI FOR ORGANIC CHEMISTRY

Unifying molecular and textual representations via multitask language modeling
Data-driven reaction template fingerprints
Text and data mining approach for creating large chemical libraries with biological activity data
Standardization of chemical compounds using language modeling
Advanced ligand-based ADMET models for lead optimization

MACHINE LEARNING IN CHEMISTRY: CHEMICAL REPRESENTATIONS AND CHEMICAL REACTIONS

Deceptively simple question of chemical structure representation
NeuTE: neural template extraction

CHEMISTRY DATABASE APPLICATION PROGRAMMING INTERFACES (APIS): AVAILABLE DATABASES, WORKFLOWS, AND USE CASES

Programmatic access to PubChem
A guide to API access to ChEMBL and UniChem
Integrating trustworthy scientific information through the CAS API
Units of Measure Interoperability Service (UMIS) and FAIR chemical units
Increasing the adoption of machine learning technologies by chemists with graphical and programmatic interfaces
Applying structural chemistry knowledge using the CSD Python API
Interesting applications of (chemical) graph edit distance
Use of PubChem and ChEMBL web APIs as reported in the literature
Why should I put my results into a database? Challenges and FAIR practices
IUPAC Gold Book API: chemical concepts for machines
Proposed application of the IUPAC FAIRSpec finding aid for standardized repository data introduction and delivery of metadata via an API

ELECTRONIC LAB NOTEBOOKS AND NOTEBOOK-LIKE APPLICATIONS FOR DATA SHARING

Process recording and digitization requirements for the 21st century scientist
NFDI4Chem: shaping digital and cultural change in chemistry
Chemotion ELN: an open-source electronic lab notebook for FAIR data
Understanding chemical reactions
Seamless collaboration and information delivery through the Design-Make-Test-Analyze cycle

ADVANCING FAIR CHEMISTRY: DEVELOPING NEW SERVICES FOR SHARING CHEMICAL DATA: WORLDFAIR CHEMISTRY PROJECT UPDATES

WorldFAIR Chemistry: project overview and workshop program
Guidance on FAIR chemical data reporting
Digital recipes for managing chemical data
Standardized programmatic access to chemical information


REFERENCES


CHEMICAL INFORMATION AND COMPUTATION 2022
ACS NATIONAL MEETINGS 2022 AND OTHER MEETINGS

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE
ACCESS INNOVATIONS
ACD/LABS
AMERICAN CHEMICAL SOCIETY
   ACS Publications
   Chemical Abstracts Service (CAS)
BENEVOLENTAI
BIOSOLVEIT
BIOVIA
CAMBRIDGE CRYSTALLOGRAPHIC DATA CENTRE (CCDC)
CHEMAXON
CHEMBL
CHEMDIV
CHEMICAL.AI
CHEMICAL COMPUTING GROUP
CHEMOTARGETS
CHEMRXIV
CITELINE
CLARIVATE
   IP Group
   Web of Science Group
   Life Sciences and Healthcare
   People
COLLABORATIVE DRUG DISCOVERY
CRESSET
DEEPMATTER
DIGITAL SCIENCE
DISCNGINE
DOTMATICS
ELSEVIER
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   People
EVOTEC
EXCELRA GOSTAR
EXSCIENTIA
FIZ KARLSRUHE AND STN INTERNATIONAL
ICHEMLABS
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INSTEM
JOHN WILEY & SONS
KNIME
KUDOS
LHASA LIMITED
LINGUAMATICS
MOLSOFT
NEXTMOVE SOFTWARE
OPENEYE SCIENTIFIC SOFTWARE
OPTIBRIUM
OXFORD DRUG DESIGN
PERKINELMER INFORMATICS
PHARMACELERA
PISTOIA ALLIANCE
PUBCHEM
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SCILLIGENCE
SIMULATIONS PLUS
SOSEI HEPTARES
SPRINGER NATURE
STRATEOS
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THALESNANO
THIEME CHEMISTRY
X-CHEM


TECHNICAL PROGRAM

ACS NATIONAL MEETING, SPRING 2022, SAN DIEGO

ORGN. TOTAL SYNTHESIS OF COMPLEX MOLECULES

Predictive retrosynthesis. Development, use, and adoption by chemists

COMP. DRUG DESIGN

AI approaches for predicting human in vivo PK parameters from chemical structure and dose

CINF. EDUCATING CHEMISTS ON DATA SCIENCE AND CHEMINFORMATICS SKILLS

Skills4Scientists. Discussing the essential extracurricular skills for a 21st century scientist
NFDI4Chem ecosystem: shaping cultural and digital change in chemistry
Teaching cheminformatics and data science with PubChem
Reaching chemists where they are. Case studies on advancing cheminformatics skills at CCDC

EXPANDING CHEMINFORMATICS TO INDUSTRIES ADJACENT TO SMALL MOLECULE DRUG DISCOVERY

Knowledge graph applications for the cosmetics industry
De-siloing data and building knowledge graphs outside of drug discovery: opportunities and challenges

CHEMISTRY ON THE GLOBAL STAGE: DATA STANDARDS, INFRASTRUCTURE, AND CHALLENGES FOR THE FUTURE

IUPAC chemical structure standard InChI: its history and development
IUPAC chemical structure standard: vision and future
Is it possible to harmonize data of a scientific community? Lessons learned in the NanoCommons project
Toward improving the research data ecosystem using PubChem
Intelligent laboratories: augmented intelligence (AI) in the lab

DATA QA/QC IN LARGE CHEMICAL DATABASES

Tautomeric conflicts in small to large, small-molecule databases
Assessing and assuring the quality of the world's largest collection of crystal structures

DATA SCIENCE AND THE CHEMISTRY ECOSYSTEM

Extracting chemical reaction information from patent documents
Ontologies4Chem. A use case to build an NMR research data knowledge graph
Human-in-the-loop for a disconnection-aware retrosynthesis
Applying 3D structural data across the chemistry ecosystem
Data revival

ACS NATIONAL MEETING, FALL 2022, CHICAGO

INCHI IN THE WILD. CELEBRATING OVER TWENTY YEARS OF INCHI DEVELOPMENT. IN MEMORY OF INCHI DEVELOPER IGOR PLETNEV

PubChem: advancing chemical information through InChI
Crowdsourced evaluation of InChI-based tautomer identification
InChI IUPAC, international chemical structure standard. Application and use of InChI across broad areas of chemistry
Using InChIs to connect across dimensions and domains
InChI education resources
Using InChI descriptors to analyze molecular landscapes important to chemical applications

AI METHODS FOR PREDICTIONS

Next Generation CoMFA - upgrading with QM and AI

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING WITH PUBLICLY AVAILABLE CHEMICAL DATA

Normalization of publicly available chemical reaction datasets for machine learning
The DECIMER (deep learning for chemical image recognition) project

DATA FORMATS, OPEN DATABASES, APIS, AND DATA ACCESSIBILITY

Data formats for reaction databases: lessons learned from Pistoia UDM and Google/MIT's Open Reaction Database (ORD)
The Open Reaction Database (ORD) initiative for standardizing and sharing organic reaction data
Capturing and utilizing data across the chemistry pipeline
Creating reaction databases from public sources, patents, and scientific publications

HERMAN SKOLNIK AWARD SYMPOSIUM HONORING WENDY WARR (ABSTRACTS AND LINKS)



GERMAN CHEMICAL SOCIETY (GCC), 17TH GERMAN CONFERENCE ON CHEMINFORMATICS, AND EUROSAMPL, MAY 8-10, GARMISCH-PARTENKIRCHEN, GERMANY

MELLODDY. Federated, privacy-preserving machine learning for drug discovery
CACHE. A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding


APPENDIX ONE. POSTERS

ACS NATIONAL MEETING, SPRING 2022, SAN DIEGO

Phosphines in the wild: a comparison of crystallographic and computed data
Adapting evolutionary algorithms for data-driven discovery of liquid organic hydrogen carriers

BIENNIAL CONFERENCE ON CHEMICAL EDUCATION 2022

The IUPAC International Chemical Identifier Open Education Resource (InChI OER)

INTERNATIONAL CONFERENCE ON CHEMICAL STRUCTURES (ICCS), NOORDWIJKERHOUT, JUNE 2022

40 million open chemical structures from patents: treasure trove, junk yard, or both?


CHEMAXON EUROPEAN USER MEETING, BUDAPEST, MAY 29-31, 2022

INTRODUCTION

CHEMAXON AND ITS PORTFOLIO

Moving forward together with Chemaxon
New challenges, new direction: portfolio overview 2022

LABORATORY WORKFLOW

From idea to insights: data capture across a laboratory workflow
LabCup inventory management software
Marvin Pro: news and plans about chemical drawing

DESIGNING NEW MOLECULES

Design Hub at Boehringer Ingelheim
Accelerate your drug discovery research. D360 and Design Hub integration
Growing the Design Hub system
Translating data to predictive models
Plan your synthetic routes with ChemAIRS
Reaxys predictive retrosynthesis: development, use, and adoption by chemists
Aiding patent drafting with Markush Editor
Claim drafting, reverse engineering
Compliance Checker and cHemTS
Controlled substance detection as a service

TRENDS AND TECHNOLOGY

Trends in life science R&D: some Pistoia Alliance perspectives
Panel discussion
Cheminformatics and bioinformatics in the cloud
AWS for life sciences
JChem Choral cartridge migration use case
Chemaxon Object Notation

HANDS-ON WORKSHOPS

PARTNER SESSION

CONCLUSION



REFERENCES


Chemical Information and Computation 2021, Number Two.
Online 262nd ACS National Meeting and Exposition
August, 2021.

INTRODUCTION

NEWS AND NEW PRODUCTS

PEOPLE
AMERICAN CHEMICAL SOCIETY
   ACS Publications
   Chemical Abstracts Service (CAS)
BENEVOLENTAI
BIOSOLVEIT
BIOVIA
CAMBRIDGE CRYSTALLOGRAPHIC DATA CENTRE (CCDC)
CERTARA
CHEMAXON
CHEMBL
CHEMRXIV
CLARIVATE
   Corporate
   IP Group and Derwent
   Web of Science Group
   Cortellis
COLLABORATIVE DRUG DISCOVERY
COMINNEX
CRESSET
DEEPMATTER
DIGITAL SCIENCE
DOTMATICS
EDELWEISS CONNECT
ELSEVIER
   Corporate, ScienceDirect and Scopus
   SciBite
EUROPEAN CHEMICALS AGENCY
EVOTEC
EXCELRA
EXSCIENTIA
FIZ KARLSRUHE AND STN INTERNATIONAL
ICHEMLABS
IDBS
INCHI TRUST
INSILICO MEDICINE
INSTEM
JOHN WILEY & SONS
KNIME
KUDOS
LHASA LIMITED
LINGUAMATICS
MOLSOFT
NEXTMOVE SOFTWARE
OPENEYE SCIENTIFIC SOFTWARE
OPTIBRIUM
PERKINELMER INFORMATICS
PHARMACELERA
PISTOIA ALLIANCE
PUBCHEM
Q-CHEM
ROYAL SOCIETY OF CHEMISTRY
SCHRÖDINGER
SCIENCEOPEN
SCILLIGENCE
SIMULATIONS PLUS
SOSEI HEPTARES
SPRINGER NATURE
STRATEOS
SYGNATURE DISCOVERY
TAYLOR & FRANCIS
THALESNANO
THIEME CHEMISTRY
X-CHEM


TECHNICAL PROGRAM

REACTIONS: REPRESENTATION, PLANNING, AND ROBOTICS

Reaction prediction and synthesis planning: how important is the quality of the underlying data?
Reaction prediction and synthesis planning: how important is the quality of the underlying data?
Multilayer reaction knowledgebase development towards retrosynthesis design
Extracting chemical reaction information from patent documents
RInChI: collecting and integrating more reaction data
Inferring missing molecules in incomplete chemical equations
Deep learning prediction of reaction conditions
UDM: the unified data model

MACHINE LEARNING AND AI FOR CHEMISTRY

NameRxn: more than just a reaction classifier
Low-data regime yield predictions with uncertainty estimation using deep learning approaches

DEEP LEARNING FOR CHEMISTRY: RESILIENCE OF METHODS AND WORKFLOWS

Challenges in quantitatively predicting chemistry with ML methods
Integrating deep neural networks and symbolic inference for organic reactivity prediction
Graph-to-graph translation for generating optimized and synthetically feasible molecules

ACCELERATING DRUG DISCOVERY THROUGH DESIGN-MAKE-TEST-ANALYZE (DMTA) AND ADDITIONAL COMPUTATIONAL METHODS

Torx: a single web-based platform to manage drug discovery chemistry
A unified informatics platform to manage data from DNA encoded libraries (DEL)
On the automation of de-novo molecular design and chemical synthesis planning: a case study on SARS-CoV-2
Data-driven algorithms for experiment planning in chemistry and drug discovery
A DEL data analysis platform for the identification of diverse chemical series in drug discovery
Predicting pKa using a combination of quantum and machine learning methods

NATURAL PRODUCTS AND FOOD INFORMATICS

Collecting and standardizing natural products: the COCONUT project
SistematX, a free web portal for the management of secondary metabolites
NP navigator: a new look at the natural product chemical space
Navigating the known natural products chemical space
Exploring microbial and plant natural products in the MAP4 chemical space
Most common functional groups occurring in natural products: A cheminformatics analysis

ENABLING FAIR PUBLICATION, EXCHANGE, AND REUSE OF CHEMISTRY DATA

FAIR crystallographic data and services: bridging academia and industry

WATCHING THE WATCHPERSON: ETHICS AND PEER REVIEW

What is the role of preprints in peer review?


APPENDIX ONE. POSTERS

RSC-CICAG: chemical information across the pond


REFERENCES


This page last updated on 12 August 2025.