SilcsBio provides software and services for unlocking the full potential of computer-driven drug design.
Baltimore, MD
Joined April 2018
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One of his notable contributions? Co-authoring “Ranking mAb–excipient interactions in biologics formulations by NMR spectroscopy and computational approaches” - a nice example of how modeling transforms formulation science. (doi.org/10.1080/19420862.202…)
Learn more about Steven and his journey in our official announcement: 👉 silcsbio.com/silcsbio-hires-…
Using SILCS-Biologics, the GeneScience Pharmaceuticals team uncovered key protein-protein & protein-excipient interactions to design stable, ultra-high-concentration #antibody #formulations. 👏
Full paper 👉 doi.org/10.1080/19420862.202…
#SILCS #Biologics #mAbs #DrugDevelopment
Run CGenFF for Just $1 per Molecule (July Only)
Industry users can now generate topology and parameters for small molecules for just $1 each.
Explore #CGenFF with minimal commitment and maximum flexibility.
app.cgenff.com/
#CompChem #MolecularModeling
SilcsBio retweeted
Harnessing computational technologies to facilitate antibody–drug conjugate development #machinelearning #compchem nature.com/articles/s41589-0…
SilcsBio retweeted
Beyond on overview of physics and ML-based methods applied to antibody-drug conjugates (ADCs) the paper presents calculations showing how MD simulations and the SILCS technology may be used to facilitate ADC development using utilities available from @silcsbio
A new Perspective by Anastasia Croitoru, Asuka Orr, and @alex_mackerell discusses how computational methods can be used to facilitate the early-stage development and optimization of antibody-drug conjugates
nature.com/articles/s41589-0…
New Perspective in Nature Chemical Biology: physics-based computational methods like MD and SILCS enable predictive, rapid design of ADCs—optimizing linker–site–DAR choices & payload–antibody interactions. #ADC #Biologics #CompChem #SILCS @alex_mackerell nature.com/articles/s41589-0…
KRAS G12D: Once Undruggable, Now Predictable with SILCS
See how our platform delivers:
🔹 Binding site ID from apo structures
🔹 Accurate pose refinement + LGFE scoring
🔹 Atom-level SAR insights
#CompChem #DrugDesign #SILCS
silcsbio.com/cracking-kras-g…
SilcsBio Team will be at #ACSSpring2025
🎤 #Talk by @AsukaOrr : SILCS for ADC development
📅 Sun, Mar 23 | ⏰ 4:30 - 4:55 PM
📜 #Poster by @aakognole : Speed vs. Accuracy in CADD
📅 Tue, Mar 25 | ⏰ 7:00 - 9:00 PM |📌# 865
📍Booth at #ACSExpo # 3951
#CompChem #DrugDesign
ACS Spring 2025 is just two weeks away! The SilcsBio team will be in San Diego!
We’ll be at the ✅ Expo with a booth, plus we have a✅ talk and a ✅ poster session lined up. Stay tuned for details on our schedule.
If you’re attending, let’s connect! 👥 #CompChem #ACSSpring2025
SILCS v2025 Release Webinar Recording is Now Available! 🎬
Missed the live session? Catch up now to explore📺:
silcsbio.com/whats-new-in-si…
📄 Read full release notes: docs.silcsbio.com/2025/relea…
#CompChem #drugdesign
Reminder to register! SILCS v2025 will be available starting next week. Join us to take an in-depth look.
🌟 Join Us for the SILCS v2025 Release Webinar! 🌟
Key Highlights being coverd:
- Precise docking w/ water inclusion
- Improved ML-based hotspot ranking
- Streamlined multi-cofactor simulations
📅 Feb 13, 2025, 12 PM ET
Register: events.teams.microsoft.com/e…
#compchem #drugdesign
🌟 Join Us for the SILCS v2025 Release Webinar! 🌟
Key Highlights being coverd:
- Precise docking w/ water inclusion
- Improved ML-based hotspot ranking
- Streamlined multi-cofactor simulations
📅 Feb 13, 2025, 12 PM ET
Register: events.teams.microsoft.com/e…
#compchem #drugdesign
🎥 Missed the SILCS-WATER webinar? Watch the recording now!
Learn how SILCS-WATER provides exciting possibilities for understanding water's role in protein-ligand interactions.
📽️ youtu.be/wrTJOzMrH2w
Thanks to @anmol_aaryan and @alex_mackerell
#CompChem #DrugDesign
🚀 Beta Testers Wanted for SILCS-Covalent!
We've developed a new covalent workflow module to enhance drug discovery. Check out our publication: lnkd.in/e_pfyimd.
Interested? Reach out at [email protected] for details and incentives!
Covalent drug design paper.
Reactive Site Detection: SILCS-Monte Carlo for accurate cysteine identification.
Warhead Optimization: ML models to rank warhead effectiveness.
Integrated Workflow: SILCS-Covalent for comprehensive insights.
pubmed.ncbi.nlm.nih.gov/3711…
SilcsBio 2024.2 Version is officially released.
Check out the new features here:
lnkd.in/dgi-asCc
