Well said "Don't get carried away by potency when selecting hits & leaving the kinase flatlands opens the door to exquisite" #drugdiscovery #compchem #medchem #cadd https://t.co/8ZTAKyJm5d
RT @adif_India: We're thrilled to welcome @giribio as an alliance member at @adif_India. ADIF is an alliance for transforming India into one of the best startup ecosystems in the world. Join the alliance: https://t.co/LsmI0kMnYk https://t.co/5sXvKHYXYt
DockQ is a single continuous quality measure for protein docked models based on the CAPRI evaluation protocol https://ift.tt/3HNiYnv giribio November 23, 2021 at 05:17PM
Target validation is a crucial process in #DrugDiscovery including druggability & mechanism. Identify targets wisely, validate & invalidate the targets before choosing them for computational studies! Listen to Dr. Christophe Bodenreider at https://t.co/0Xs7djOjJL #CompChem
I am happy that I am on the right track with the transfer of knowledge to all #MedChem #CompChem #DrugDiscovery and #CADD researchers while delivering talk on #SeeSAR (@biosolveit) & #StarDrop (@Optibrium ) Selectivity & Mechanistic driven drug discovery https://t.co/WKedoECMqt
Visualisation techniques are used in the area of small molecules, drug molecules, protein and to understand complex functions and interaction points to infer the mechanisms. https://youtu.be/pj0DJArwUpw October 26, 2021 at 05:00AM
As agreed, I uploaded #KNIME workflows to cater #cheminformatics #compchem #QSAR & #ML techniques. Most of the workflows are public, will try to upload tutorial videos with explanations! @knime Hub: https://t.co/byTdzUR7wC Enjoy automation in #CADD with @giribio & @NyroIndia https://t.co/bWNQIhNoCQ
As agreed, I uploaded #KNIME workflows to cater #cheminformatics #compchem #QSAR & #ML techniques. Most of the workflows are public, will try to upload tutorial videos with explanations! @knime Hub: https://t.co/byTdzUR7wC Enjoy automation in #CADD with @giribio & @NyroIndia https://t.co/bWNQIhNoCQ
How about homology modelling of protein using @salilab_ucsf's MODELLER in @ProjectJupyter notebook? Alpha ver. of Notebook: https://t.co/FQoWtmj9cQ More notebooks will be updated soon! Feel free to contribute more!🤝 #Bioinformatics #proteomics #protein #MODELLER https://t.co/32KT49Yqxf
How about homology modelling of protein using @salilab_ucsf's MODELLER in @ProjectJupyter notebook? Alpha ver. of Notebook: https://t.co/FQoWtmj9cQ More notebooks will be updated soon! Feel free to contribute more!🤝 #Bioinformatics #proteomics #protein #MODELLER https://t.co/32KT49Yqxf
Great talks! Got to know facts of #datascience implementations in #business & #industries Thanks, @knime for the #DataTalks #ML #AI @NyroIndia https://t.co/XOVSSxb5XI
Nearly 138M elderly persons in India in 2021, including 67M men & 71M women. Projected to have risen by 32.7% between 2011 to 2021, even the general population rose by 12.4%. Report by @GoIStats - Elderly In India 2021 @NyroIndia #LONGEVITY #India Ref: https://t.co/2CBcvEHUrk https://t.co/so9HOeenyr
Nearly 138M elderly persons in India in 2021, including 67M men & 71M women. Projected to have risen by 32.7% between 2011 to 2021, even the general population rose by 12.4%. Report by @GoIStats - Elderly In India 2021 @NyroIndia #LONGEVITY #India Ref: https://t.co/2CBcvEHUrk https://t.co/so9HOeenyr
Over 319 million elderly population expected by 2050, threefold the number identified by the Census in 2011, according to the #LASI Hope we will have some updated policies and programmes in India for #Longevity! Ref: https://t.co/FgTUxCitsg @NyroIndia #Aging #AtmaNirbharBharat https://t.co/Uy4xZCFv0J
Over 319 million elderly population expected by 2050, threefold the number identified by the Census in 2011, according to the #LASI Hope we will have some updated policies and programmes in India for #Longevity! Ref: https://t.co/FgTUxCitsg @NyroIndia #Aging #AtmaNirbharBharat https://t.co/Uy4xZCFv0J
An interesting article on Indian #Longevity was published in 1972. How about an updated one! I am looking forward to a follow-up article! Pls let me know if researchers are interested in #Aging Biology, #AntiAging & its #DrugDiscovery @NyroIndia Ref: https://t.co/xgBcjjBuDR https://t.co/GtwFE8UXpc
An interesting article on Indian #Longevity was published in 1972. How about an updated one! I am looking forward to a follow-up article! Pls let me know if researchers are interested in #Aging Biology, #AntiAging & its #DrugDiscovery @NyroIndia Ref: https://t.co/xgBcjjBuDR https://t.co/GtwFE8UXpc
Comparison of ML Models with ILPD (Indian Liver Patient Dataset) Data Set which contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos. https://ift.tt/38y4OpS giribio August 31, 2021 at 11:15PM
Do you want to run Molecular Dynamics via a web browser? Run MD simulation in @GoogleColab using #NAMD GPU Colab Link: https://t.co/Zde7xBVYBj Video demo: https://t.co/8n68d9hnHT For learning purposes only! @ChemistryUIUC #HappyLearning #CompChem #CADD #MD #simulation https://t.co/Kge6CjrPXs
Do you want to run Molecular Dynamics via a web browser? Run MD simulation in @GoogleColab using #NAMD GPU Colab Link: https://t.co/Zde7xBVYBj Video demo: https://t.co/8n68d9hnHT For learning purposes only! @ChemistryUIUC #HappyLearning #CompChem #CADD #MD #simulation https://t.co/Kge6CjrPXs
Do you want to run Molecular Dynamics via a web browser? Run MD simulation in @GoogleColab using #NAMD GPU Colab Link: https://t.co/Zde7xBVYBj Video demo: https://t.co/8n68d9hnHT For learning purposes only! @ChemistryUIUC #HappyLearning #CompChem #CADD #MD #simulation https://t.co/Kge6CjrPXs
Have you tried lead optimization of hit molecules from properties or from QSAR prediction simulators? The Bioconcentration Factor model was generated using Random Forest with 779 compounds and 9 molecular descriptors are optimized. #QSAR #Deploy #CADD #drugdiscovery #MedChem https://t.co/hxf0pstNvZ
Do we deploy/apply the QSAR models generated? We publish models with reliability, reproducibility, & great predictive ability. But could others make use of our published model? Until unless the model is deployed no one could use it in a real case. So good to deploy & publish! https://t.co/D0Apv7zH9D
Which 3D chemical structures are used for 3D QSAR modelling? when 3D mol. descriptors are generated from; 1. SMILES > 2D > 3D using MM/AM1/PM6 2. Docked bioactive poses (if protein structures available) 3. Pharmacophore screened conformer Ref: https://t.co/IMiVF7mi3B #QSAR #SAR https://t.co/pLRHLo6WGc
Which 3D chemical structures are used for 3D QSAR modelling? when 3D mol. descriptors are generated from; 1. SMILES > 2D > 3D using MM/AM1/PM6 2. Docked bioactive poses (if protein structures available) 3. Pharmacophore screened conformer Ref: https://t.co/IMiVF7mi3B #QSAR #SAR https://t.co/pLRHLo6WGc
How do you validate a QSAR model prediction? e.g. for the predicted property/activity from a deployed model how do we justify the predicted values are reliable or not for our compounds? #QSAR: I am powerful but be cautious!😎 Correlation ≠ Causation #AI #ML #Statistics #SAR https://t.co/vldj6LlPbc
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning. https://ift.tt/3if3j5G giribio August 1, 2021 at 12:23PM
Pull SMILES, inchi_key & other data from #ChEMBL using ChEMBLID or others within @KNIME & save-as table (CSV/SDF/SMILES, etc) Similar workflows are available for PubChem, BindingDB, etc. Workflow at @github : https://t.co/nHjGOWde8i #Cheminformatics #Database #drugdiscovery https://t.co/Q8zoyKXbTp
Pull SMILES, inchi_key & other data from #ChEMBL using ChEMBLID or others within @KNIME & save-as table (CSV/SDF/SMILES, etc) Similar workflows are available for PubChem, BindingDB, etc. Workflow at @github : https://t.co/nHjGOWde8i #Cheminformatics #Database #drugdiscovery https://t.co/Q8zoyKXbTp
Do you report conservation of selectivity or specificity in mol. docking studies? I used a search algorithm to find proteins from PDB with similar binding sites of 1DWD Super-imposed image of selected proteins - binding site AA in stick rep. #CADD #SBDD #DrugDiscovery #CompChem https://t.co/iSCwG9mjl8
Strategy to identify key AAs in the binding pocket/site for mol. docking? A. Based on the predictions from pocket prediction tools. B. Identify (DB/BI) the key (catalytic, motif, functional sites) amino acids. C. Based on lit. (exp.) data. D. All the above (really?) #SBDD #CADD https://t.co/fjVDeBuPHL
Overview of strategies & progress (2014) in using #ML methods for #drugdiscovery & the potential of #ADME model development tools. ML used in screening libraries of the diverse set, “noisy” & high-dimensional data Ref: https://t.co/h4rbcfSBd3 #ML #QSAR #QSPR #Research #ANN #SVM https://t.co/Zca5MWzqmU
Overview of strategies & progress (2014) in using #ML methods for #drugdiscovery & the potential of #ADME model development tools. ML used in screening libraries of the diverse set, “noisy” & high-dimensional data Ref: https://t.co/h4rbcfSBd3 #ML #QSAR #QSPR #Research #ANN #SVM https://t.co/Zca5MWzqmU
Let us discuss collaborative efforts! How many collaborators in your #drugdiscovery projects? Collaborative research helps to develop skills, share resources, exchange ideas & many more... #research #collaborate #exchange #science #ideas #OpenScience https://t.co/wszaKGWcep
I think we should extensively use #Blockchain technology in science, chemistry & #drugdiscovery at the academics and government labs other than CROs & Pharma https://t.co/qHaPuDPsLv #ELN #LIMS #Vault #IP #Collaboration #IoT #Chemistry #DB https://t.co/al4fH4fI91
I think we should extensively use #Blockchain technology in science, chemistry & #drugdiscovery at the academics and government labs other than CROs & Pharma https://t.co/qHaPuDPsLv #ELN #LIMS #Vault #IP #Collaboration #IoT #Chemistry #DB https://t.co/al4fH4fI91
Do you calibrate or validate your docking protocol (with any software) using RMSD evaluation (measure the quality of reproduction of a known bioactive conformation) or (docked conformation vs cocrystal conformation)? #RMSD #Docking #CADD #CompChem #Validation #DrugDesign https://t.co/QHKsrr3I8g
See you all tomorrow at the #KNIMEDataTalks around 2:30PM IST Register for free at https://t.co/5qaPRmNAs3 #AI #ML #DataScience #BigData #DataAnalytics #CompChem #Bioinformatics #Data https://t.co/AFcHmYAYOL https://t.co/b6qqHkHM1I
See you all tomorrow at the #KNIMEDataTalks around 2:30PM IST Register for free at https://t.co/5qaPRmNAs3 #AI #ML #DataScience #BigData #DataAnalytics #CompChem #Bioinformatics #Data https://t.co/AFcHmYAYOL https://t.co/b6qqHkHM1I
See you all tomorrow at the #KNIMEDataTalks around 2:30PM IST Register for free at https://t.co/5qaPRmNAs3 #AI #ML #DataScience #BigData #DataAnalytics #CompChem #Bioinformatics #Data https://t.co/AFcHmYAYOL https://t.co/b6qqHkHM1I